Abstract: A flux sensing system includes a memory and a processor in communication with the memory and a sensing device, the memory storing a plurality of capabilities and a plurality of semantic fluxes associated with the plurality of capabilities. The computing system is configured to infer a semantic based on received inputs and route the inputs to the semantic fluxes based on semantic drift inference between their associated capabilities and inferred semantic. Further, it positions the sensing device for receiving the input from a user in an optimal manner.

Abstract: A sensing system includes a sensor with a computing system and a memory in communication with the computing system, the memory storing a plurality of endpoints. The computing system is configured to receive activity preferences from a device at an endpoint and further determines the likeability of the activities at the endpoint. Further, it receives semantic identification preferences from the device in communication with the computing system and the system blurs the corresponding semantic identities based on the received preferences.

Abstract: A generative sensing system includes a plurality of fairings attached to a carrier via a plurality of mechanical links and further associated with a plurality of actuators in communication with a computing system and a memory in communication with the computing system storing a plurality of fairing groups. The computer system is configured to receive and input from a sensor and adjust the fairing groups to capture an agent flow which is transduced to a voltage and transferred to an electrical energy storage and/or distribution system.

Abstract: A semantic sensing system includes a semantic engine coupled to one or more sensing entities, and a memory having a plurality of semantics and semantic inference rules. A semantic engine is configured to interpret the plurality of rules and to perform an action by inferring a first semantic and a second semantic based on inputs from the first sensing entity. The semantic engine infers a composite semantic and identifies an action applicable to the composite semantic to perform the action.

Abstract: A semantic augmentation system includes a sensor with a computing system and a memory in communication with the computing system, the memory storing a plurality of endpoints. The computing system is configured to infer a first and a second semantic identity for an object, based on inputs from the sensor, project a coherent narrative and perform semantic augmentation towards a user. In further examples, the system infers a first narrative comprising two semantic identities and a second narrative wherein the system infers that a user observing view didn't infer the second semantic identity and further doesn't use the second semantic identity in the second narrative. It further, uses the corresponding narrative to remind the user to carry an item and/or credential in order to start an activity.

Abstract: A monitoring system includes a first sensor and a second sensor, at least one of which is a camera. A computer system coupled to the first and second sensors includes a memory and stored object types and associations between objects. The computer system is configured to infer a group association between a first and second object by retrieving an input from at least one of the sensors, inferring an interaction at a monitored location, infer possession of the second object by the first object, and terminate the inferred group association based on a subsequent inference.

Abstract: A system for physical-virtual environment fusion includes a sensor with a computing system and a memory in communication with the computing system, the memory storing a plurality of endpoints. The computing system is configured to select a semantic identity of an object from among a group of objects indicated by a user pointer indicator by determining, based on inputs from the sensor, the approximate orientation of the user pointer indicator towards a first endpoint from among the plurality of endpoints, the first endpoint having the group of objects located within the first endpoint. It further renders, on a display surface, the group of objects, receives from the user an indication regarding the semantic identity of the object and presents, on the display surface, an indication of the selection of the object from among the group of objects based on the further indications from the user.

Abstract: A robotic semantic system includes one or more smart robotic devices, which may be configured as a stack of modules including a mobility module and one or more sensor modules. A plurality of robotic modules is communicatively coupled to one another, and use variable semantic coherent inferences to allow the devices to perform semantic augmentation. The robotic modules are communicatively coupled with an insurance entity for providing analysis and opinion reporting regarding incidents.

Abstract: A robotic semantic system includes one or more smart robotic devices, which may be configured as a stack of modules including a mobility module and one or more sensor modules. A plurality of robotic modules is communicatively coupled to one another, and use variable semantic coherent inferences to allow the devices to perform semantic augmentation.

Abstract: A robotic semantic system includes one or more smart robotic devices, which may be configured as a stack of modules including a mobility module and one or more sensor modules. A plurality of robotic modules is communicatively coupled to one another, and use variable semantic coherent inferences to allow the devices to perform semantic augmentation.

Abstract: A networked radio frequency identification system includes a plurality of radio frequency identification (RFID) tag readers, a computer in signal communication with the RFID tag readers over a network, and a software module for storage on and operable by the computer that localizes RFID tags based on information received from the RFID tag readers using a network model having endpoints and oriented links. In an additional example, at least one of the RFID tag readers includes an adjustable configuration setting selected from RF signal strength, antenna gain, antenna polarization, and antenna orientation. In a further aspect, the system localizes RFID tags based on hierarchical threshold limit calculations. In an additional aspect, the system controls a locking device associated with an access point based on localization of an authorized RFID tag at the access point and reception of additional authorizing information from an input device.

Abstract: A networked radio frequency identification system includes a plurality of radio frequency identification (RFID) tag readers, a computer in signal communication with the RFID tag readers over a network, and a software module for storage on and operable by the computer that localizes RFID tags based on information received from the RFID tag readers using a network model having endpoints and oriented links. In an additional example, at least one of the RFID tag readers includes an adjustable configuration setting selected from RF signal strength, antenna gain, antenna polarization, and antenna orientation. In a further aspect, the system localizes RFID tags based on hierarchical threshold limit calculations. In an additional aspect, the system controls a locking device associated with an access point based on localization of an authorized RFID tag at the access point and reception of additional authorizing information from an input device.

Abstract: A networked radio frequency identification system includes a plurality of radio frequency identification (RFID) tag readers, a computer in signal communication with the RFID tag readers over a network, and a software module for storage on and operable by the computer that localizes RFID tags based on information received from the RFID tag readers using a network model having endpoints and oriented links. In an additional example, at least one of the RFID tag readers includes an adjustable configuration setting selected from RF signal strength, antenna gain, antenna polarization, and antenna orientation. In a further aspect, the system localizes RFID tags based on hierarchical threshold limit calculations. In an additional aspect, the system controls a locking device associated with an access point based on localization of an authorized RFID tag at the access point and reception of additional authorizing information from an input device.

Abstract: A networked radio frequency identification system includes a plurality of radio frequency identification (RFID) tag readers, a computer in signal communication with the RFID tag readers over a network, and a software module for storage on and operable by the computer that localizes RFID tags based on information received from the RFID tag readers using a network model having endpoints and oriented links. In an additional example, at least one of the RFID tag readers includes an adjustable configuration setting selected from RF signal strength, antenna gain, antenna polarization, and antenna orientation. In a further aspect, the system localizes RFID tags based on hierarchical threshold limit calculations. In an additional aspect, the system controls a locking device associated with an access point based on localization of an authorized RFID tag at the access point and reception of additional authorizing information from an input device.

Abstract: A localization system includes a plurality of radio frequency readers having transceivers and antennas. Adjustable configuration settings allow for configuration adjustments including signal strength, antenna gain, antenna polarization, and antenna orientation. A computer system is coupled with the radio frequency readers and is configured to determine a first location of an object based on data from the readers and compare it with a second location of the object based on data from a global positioning system device. The computer system is configured to perform an action based upon the determination that the first location and the second location are within a range, including that they are at the same location.

Abstract: A networked radio frequency identification system includes a plurality of radio frequency identification (RFID) tag readers, a computer in signal communication with the RFID tag readers over a network, and a software module for storage on and operable by the computer that localizes RFID tags based on information received from the RFID tag readers using a network model having endpoints and oriented links. In an additional example, at least one of the RFID tag readers includes an adjustable configuration setting selected from RF signal strength, antenna gain, antenna polarization, and antenna orientation. In a further aspect, the system localizes RFID tags based on hierarchical threshold limit calculations. In an additional aspect, the system controls a locking device associated with an access point based on localization of an authorized RFID tag at the access point and reception of additional authorizing information from an input device.

Abstract: A semantic sensing system includes a semantic engine coupled to one or more sensing entities, and a memory having a plurality of semantics and semantic inference rules. A semantic engine is configured to interpret the plurality of rules to determine a composite semantic by inferring a first semantic, determining a second sematic based on an external input, and infer a composite sematic based on the first and second semantics and a semantic inference rule.

Abstract: A semantic sensing system includes a first sensing entity and a semantic engine coupled with the first sensing entity. A memory is associated with the semantic engine and stores a plurality of semantics. The memory further stores a first semantic inference rule for a first semantic. The semantic engine is configured to perform a control action by inferring a first semantic based on an input from the first sensing entity at a first time and the first semantic inference rule, adjusting a weight for the first semantic based on an external input, and perform the control action based on the adjusted weight for the first semantic.

Abstract: An access control system and method for permitting access by a user having a mobile device, based on a determined location for the user and additional authentication information sent to the mobile device. A computer system has stored programming instructions configured to cause the computer system to identify the user at an area-based location, send a first access code to the mobile device representing additional authorizing information, receive the first access code within a predefined interval of time, and unlock the access based on a determination that the access code is valid and the identification of the user at the area-based location.

Abstract: A semantic sensing system includes a semantic engine coupled to one or more sensing entities, and a memory having a plurality of semantics and semantic inference rules. A semantic engine is configured to interpret the plurality of rules and to perform an action by inferring a first semantic and a second semantic based on inputs from the first sensing entity. The semantic engine infers a composite semantic and identifies an action applicable to the composite semantic to perform the action.