Abstract: A system for monitoring a wound includes a wound dressing configured to cover a wound surface of the wound, one or more sensing devices attached to the wound dressing, a network interface hardware, and a controller. The controller includes one or more processors, and one or more memory modules storing computer readable and executable instructions. The controller receives data measured by the one or more sensing devices, determines whether an infection is likely to occur based on the data measured by the one or more sensing devices, and outputs an alert, through the network interface hardware, in response to determining that the infection is likely to occur.

Abstract: Methods and apparatus for coordinating inter-region operations in provider networks. An inter-region coordinator (IRC) operates asynchronously to the control planes of regional networks to coordinate inter-region operations. The IRC in a region may include one or more IRC servers. To perform inter-region operations, the servers may implement a local-remote-local method in which a server invokes an API in the local region to get work, sends the work to a control plane of a remote region, receives a response from the remote region, and informs the control plane in the local region of the status of the work.

Abstract: A method of conserving battery power of mobile devices within a location-based group starts with server receiving location data and proximity information from each of the mobile devices. Location data received from first mobile device includes the first mobile device's location. Proximity information received from first mobile device includes an identification of mobile devices within a predetermined radius of first mobile device's location. Server identifies based on location data and proximity information a specific location and forms a subgroup of mobile devices that are within a predetermined radius of the specific location. Server queries and receives a level of power associated with each mobile devices in the subgroup and transmits control signals to each mobile devices in the subgroup to shut down radio functions based on the level of power. Other embodiments are also described.

Abstract: A structural health monitoring system may include a structural health monitoring device comprising a measuring circuit attachable to a target area of a workpiece. The measuring circuit may be communication with a radio circuit having an antenna configured to facilitate offboard communication. The measuring circuit may be configured to measure an impedance of the target area of the workpiece, and the processing circuit may be configured to determine a change in the impedance of the target area indicative of a change in structural health of the workpiece. An ambient energy harvester circuit may be configured to provide electrical power to the measuring circuit. A remote reader may wirelessly interrogate the structural health monitoring device to obtain information regarding the change in the impedance of the target area.

Abstract: A method of increasing accuracy of location determination of mobile devices within a location-based subgroup starts with processor receiving location data and proximity information from each of the mobile devices. Location data received from first mobile device includes first mobile device's fixed location. Proximity information received from first mobile device includes an identification of mobile devices within a proximity sensitivity radius of first mobile device's location. Selecting at least one mobile device that has provided proximity information that identifies first mobile device as being within the proximity sensor accuracy limit of the selected at least one mobile device. Processor refining fixed location of first mobile device to generate refined location of first mobile device by identifying an intersection of proximity sensor accuracy limit of the selected at least one mobile device. Other embodiments are described.

Abstract: Systems and methods of associating beds and/or rooms and/or patients are provided. One system and method involves using a signature of emitted light to determine a location of a patient bed in a healthcare facility. Another system and method involves reading a bar code from an array of redundant bar codes. Still another system and method involves manually entering location information on a graphical user interface of a patient bed for subsequent transmission. A further system and method involves sending bed ID and location ID along parallel paths from two independent circuits on a patient bed for receipt by two different transceivers and ultimately by two different remote computers that cooperate to associate the bed ID with the location ID. Still a further system and method involves using circuitry on a bed to mutate a received location ID and a bed ID into a single unique mutated ID such as by adding the location ID and bed ID and then performing a hashing operation.

Abstract: A method of increasing accuracy of location determination of mobile devices within a location-based subgroup starts with processor receiving location data and proximity information from each of the mobile devices. Location data received from first mobile device includes first mobile device's fixed location. Proximity information received from first mobile device includes an identification of mobile devices within a proximity sensitivity radius of first mobile device's location. Selecting at least one mobile device that has provided proximity information that identifies first mobile device as being within the proximity sensor accuracy limit of the selected at least one mobile device. Processor refining fixed location of first mobile device to generate refined location of first mobile device by identifying an intersection of proximity sensor accuracy limit of the selected at least one mobile device. Other embodiments are described.

Abstract: A method of conserving battery power of mobile devices within a location-based group starts with server receiving location data and proximity information from each of the mobile devices. Location data received from first mobile device includes the first mobile device's location. Proximity information received from first mobile device includes an identification of mobile devices within a predetermined radius of first mobile device's location. Server identifies based on location data and proximity information a specific location and forms a subgroup of mobile devices that are within a predetermined radius of the specific location. Server queries and receives a level of power associated with each mobile devices in the subgroup and transmits control signals to each mobile devices in the subgroup to shut down radio functions based on the level of power. Other embodiments are also described.

Abstract: A method of increasing accuracy of location determination of mobile devices within a location-based subgroup starts with server receiving location data and proximity information from each of the mobile devices. Location data received from first mobile device includes first mobile device's fixed location. Proximity information received from first mobile device includes an identification of mobile devices within a proximity sensitivity radius of first mobile device's location. Server forms subgroup of mobile devices based on proximity information from each of the mobile devices. Subgroup may include first mobile device and mobile devices that have provided proximity information that identifies first mobile device are being within the proximity sensitivity radiuses of the mobile devices, respectively. Server may then refine the fixed location of the first mobile device, which includes identifying an intersection of the proximity sensor sensitivity of each of the mobile devices that are in subgroup.

Abstract: Disclosed are various implementations for generating one or more visualization regions in a user interface indicative of a state of a fulfillment center. A visualization region may be generated comprising one or more visual identifiers, labels, and metrics describing one or more stages in a fulfillment process. In response to a manipulation of a portion of the visualization region, a predefined action may be initiated.

Abstract: A method of conserving battery power of mobile devices within a location-based group starts with server receiving location data and proximity information from each of the mobile devices. Location data received from first mobile device includes the first mobile device's location. Proximity information received from first mobile device includes an identification of mobile devices within a predetermined radius of first mobile device's location. Server identifies based on location data and proximity information a specific location and forms a subgroup of mobile devices that are within a predetermined radius of the specific location. Server queries and receives a level of power associated with each mobile devices in the subgroup and transmits control signals to each mobile devices in the subgroup to shut down radio functions based on the level of power. Other embodiments are also described.

Abstract: A method of providing connection source recommendations using a database of historic data on connectivity starts with a processor receiving location and connection information from each mobile device. Location information may identify a location of each mobile device, respectively. Connection information may identify one of the connection sources as a preferred connection source used to identify the location of each mobile device, respectively. The connection source may be Global Position Satellite (GPS), cell tower, or WiFi access point. Processor may then store, in database, location and connection information. Database may include a plurality of location information and a history of connection information for each location information. Other embodiments are described.

Abstract: Method of determining fraudulent use based on behavioral abnormality starts with processor receiving first location data and first proximity information from first mobile device. First proximity information includes identification of mobile devices within proximity sensitivity radius of first mobile device. Processor determines whether first location data and first proximity information are included in historical location data and historical proximity information, respectively, associated with first mobile device. When first location data and first proximity information is not included, processor determines whether subsequent location data and subsequent proximity information received from first mobile device over predetermined period of time is included.

Abstract: Method of determining user's life change based on behavioral abnormality starts with processor receiving first location data and first proximity information from first mobile device. First proximity information includes identification of mobile devices within proximity sensitivity radius of first mobile device. Processor determines whether first location data and first proximity information are included in historical location data and historical proximity information, respectively, associated with first mobile device. When first location data and first proximity information is not included, processor determines whether subsequent location data and subsequent proximity information received from first mobile device over predetermined time period is included.

Abstract: A method of increasing accuracy of location determination of mobile devices within a location-based subgroup starts with server receiving location data and proximity information from each of the mobile devices. Location data received from first mobile device includes first mobile device's fixed location. Proximity information received from first mobile device includes an identification of mobile devices within a proximity sensitivity radius of first mobile device's location. Server forms subgroup of mobile devices based on proximity information from each of the mobile devices. Subgroup may include first mobile device and mobile devices that have provided proximity information that identifies first mobile device are being within the proximity sensitivity radiuses of the mobile devices, respectively. Server may then refine the fixed location of the first mobile device, which includes identifying an intersection of the proximity sensor sensitivity of each of the mobile devices that are in subgroup.

Abstract: Method of generating, displaying, and implementing geo-fence using location determination of mobile devices (MHSDs) within location-based group starts with server receiving geo-fence information and generating geo-fence based on geo-fence information. Server receives location data and proximity information from MHSDs. Location data received from first MHSD includes first MHSD's location. Proximity information received from first MHSD includes identification of MHSDs within proximity sensitivity radius of first MHSD's location. Server forms subgroup of MHSDs based on proximity information from each MHSD. Subgroup include first MHSD and MHSDs that have provided proximity information that identifies first MHSD are being within proximity sensitivity radiuses of the MHSDs, respectively. Server refines the fixed location of the first MHSD, which includes identifying an intersection of the proximity sensor sensitivity of MHSDs that are in subgroup.

Abstract: A method of increasing accuracy of location determination of mobile devices within a location-based subgroup starts with server receiving location data and proximity information from each of the mobile devices. Location data received from first mobile device includes first mobile device's fixed location. Proximity information received from first mobile device includes an identification of mobile devices within a proximity sensitivity radius of first mobile device's location. Server forms subgroup of mobile devices based on proximity information from each of the mobile devices. Subgroup may include first mobile device and mobile devices that have provided proximity information that identifies first mobile device are being within the proximity sensitivity radiuses of the mobile devices, respectively. Server may then refine the fixed location of the first mobile device, which includes identifying an intersection of the proximity sensor sensitivity of each of the mobile devices that are in subgroup.

Abstract: A method of providing connection source recommendations using a database of historic data on connectivity starts with a processor receiving location and connection information from each mobile device. Location information may identify a location of each mobile device, respectively. Connection information may identify one of the connection sources as a preferred connection source used to identify the location of each mobile device, respectively. The connection source may be Global Position Satellite (GPS), cell tower, or WiFi access point. Processor may then store, in database, location and connection information. Database may include a plurality of location information and a history of connection information for each location information. Other embodiments are described.

Abstract: Method of generating, displaying, and implementing geo-fence using location determination of mobile devices (MHSDs) within location-based group starts with server receiving geo-fence information and generating geo-fence based on geo-fence information. Server receives location data and proximity information from MHSDs. Location data received from first MHSD includes first MHSD's location. Proximity information received from first MHSD includes identification of MHSDs within proximity sensitivity radius of first MHSD's location. Server forms subgroup of MHSDs based on proximity information from each MHSD. Subgroup include first MHSD and MHSDs that have provided proximity information that identifies first MHSD are being within proximity sensitivity radiuses of the MHSDs, respectively. Server refines the fixed location of the first MHSD, which includes identifying an intersection of the proximity sensor sensitivity of MHSDs that are in subgroup.

Abstract: Method of determining fraudulent use based on behavioral abnormality starts with processor receiving first location data and first proximity information from first mobile device. First proximity information includes identification of mobile devices within proximity sensitivity radius of first mobile device. Processor determines whether first location data and first proximity information are included in historical location data and historical proximity information, respectively, associated with first mobile device. When first location data and first proximity information is not included, processor determines whether subsequent location data and subsequent proximity information received from first mobile device over predetermined period of time is included.