Abstract: A computer system, method, and program product for registering sensors, includes an interface to receive a query (Q) related to a specific event for a target system state associated with a specific activity pattern. A decomposer decomposes the query (Q) into semantic expressions (QSe1,QSe2) describing the target system state, and identifies a database entry associated with a semantic expression from the decomposition. A retriever retrieves behavioral data corresponding to the identified database entry, including dependencies between elements that describe the specific activity pattern. The specific activity pattern is associated with multiple activity data structures. A registration component registers a sensor (S1,S3,S4), assigned to the activity data structures.

Abstract: The invention relates generally to a collapsible smart fence and uses thereof. Specifically, the invention relates to a collapsible smart fence for effectively detecting and handling crowd behaviors.

Abstract: A system and method to perform multisensory data fusion in a distributed sensor environment for object identification classification. Embodiments of the invention are sensor-agnostic and capable handling a large number of sensors of different types via a gateway which transmits sensor measurements to a fusion engine according to predefined rules. A relation exploiter allows combining sensor measurements with information on object relationships from a knowledge base. Also included in the knowledge base is a travel model for objects, along with a graph generator to enable forecasting of object locations for further correlation of sensor data in object identification. Multiple task managers allow multiple fusion tasks to be performed in parallel for flexibility and scalability of the system.

Abstract: A computer system, method, and program product for registering sensors, includes an interface to receive a query (Q) related to a specific event for a target system state associated with a specific activity pattern. A decomposer decomposes the query (Q) into semantic expressions (QSe1,QSe2) describing the target system state, and identifies a database entry associated with a semantic expression from the decomposition. A retriever retrieves behavioral data corresponding to the identified database entry, including dependencies between elements that describe the specific activity pattern. The specific activity pattern is associated with multiple activity data structures. A registration component registers a sensor (S1,S3,S4), assigned to the activity data structures.