Abstract: A method is disclosed. The method includes receiving a first interaction request to transfer a first interaction amount from a sender to a receiver. The first interaction request comprise a sender identifier, a receiver identifier, the first interaction amount, and a condition. The computer generates a smart contract this information, and then hashes the to form a first hash key. The computer incorporates the information, and the first hash key into a first block in a blockchain. The computer receives a second interaction request from the receiver device to transferring a second amount from the receiver to a third party, the second interaction request comprising the receiver identifier, a second interaction amount, and a third party identifier. The computer hashes this information to form a second hash key. The server computer incorporates this information and the second hash key into a second block in the blockchain.

Abstract: Example method includes: receiving, by a network device, a plurality of signal strength values associated with a particular timestamp corresponding to a particular client device from a plurality of access points in a wireless network at a site; determining a mobility pattern based on the plurality of signal strength values associated with the particular timestamp corresponding to the particular client device; comparing the mobility pattern associated with the particular timestamp corresponding to the particular client device with mobility patterns associated with other timestamps or corresponding to other client devices to identify a set of frequent mobility patterns; determining whether an unassociated client device exhibits a threshold number of frequent mobility patterns for a threshold amount of time; and determining that the unassociated client device presents in the site in response to the unassociated client device exhibiting the threshold number of the frequent mobility patterns for the threshold amou

Abstract: Authentication keys are selectively cached locally for faster roaming of wireless stations in a communication network. An attempt by a station to reassociate with an access point is detected. Responsive to identifying a key corresponding to the station as evidence of a previous association, the key is retrieved from the key cache without contracting a controller or an authentication server, for faster responses. At least one modified response frame is generated to include the identified key along with an approval of the association between the access point and the station. The at least one modified response is sent from the access point to the station. An attempt to roam to a station for a first time is detected responsive to a key cache miss at the access point. If the station has previously associated with an access point under purview of the controller, keys are located and sent back to the access point without contacting an authentication server as an improvement over IEEE 802.11r.

Abstract: Example implementations relate to client boundary location. For example, a non-transitory computer readable medium storing instructions executable by a processing resource to cause a computer to estimate a location of a client within a first boundary; determine whether there is a pathway between the first boundary and a second boundary for the client to move; and indicate whether the client is in the first boundary or the second boundary based on the determination of the pathway and the estimated location of the client.

Abstract: Example method includes: receiving, by a network device, a plurality of signal strength values associated with a particular timestamp corresponding to a particular client device from a plurality of access points in a wireless network at a site; determining a mobility pattern based on the plurality of signal strength values associated with the particular timestamp corresponding to the particular client device; comparing the mobility pattern associated with the particular timestamp corresponding to the particular client device with mobility patterns associated with other timestamps or corresponding to other client devices to identify a set of frequent mobility patterns; determining whether an unassociated client device exhibits a threshold number of frequent mobility patterns for a threshold amount of time; and determining that the unassociated client device presents in the site in response to the unassociated client device exhibiting the threshold number of the frequent mobility patterns for the threshold amou

Abstract: Examples disclosed herein relate to determining a scale associated with received signal strength indicators (RSSIs). In one example, a computing device receives access point (AP) RSSIs. The RSSIs are determined at APs. The APs are associated with coordinate information. In one example, records are maintained for AP reference pairs. Each AP RSSI can be determined at one AP with reference to another AP. In one example, the computing device determines a scale associated with each record.

Abstract: Example method includes: receiving, by a network device, a plurality of signal strength values associated with a particular timestamp corresponding to a particular client device from a plurality of access points in a wireless network at a site; determining a mobility pattern based on the plurality of signal strength values associated with the particular timestamp corresponding to the particular client device; comparing the mobility pattern associated with the particular timestamp corresponding to the particular client device with mobility patterns associated with other timestamps or corresponding to other client devices to identify a set of frequent mobility patterns; determining whether an unassociated client device exhibits a threshold number of frequent mobility patterns for a threshold amount of time; and determining that the unassociated client device presents in the site in response to the unassociated client device exhibiting the threshold number of the frequent mobility patterns for the threshold amou

Abstract: Example implementations relate to network deployment of devices. For example, a non-transitory computer readable medium storing instructions executable by a processing resource can determine a plurality of deployment thresholds of a plurality of devices, wherein the plurality of deployment thresholds are associated with a type of the plurality of devices. The instructions can cause the processing resource to monitor deployment data associated with the plurality of devices to identify a device with a deployment outlier. The device with the deployment outlier is a device with deployment data that is outside a deployment threshold of the device. The instructions can cause the processing resource to adjust the deployment threshold of the device based on the monitoring.

Abstract: Example method includes: receiving, by a network device, a plurality of signal strength values associated with a particular timestamp corresponding to a particular client device from a plurality of access points in a wireless network at a site; determining a mobility pattern based on the plurality of signal strength values associated with the particular timestamp corresponding to the particular client device; comparing the mobility pattern associated with the particular timestamp corresponding to the particular client device with mobility patterns associated with other timestamps or corresponding to other client devices to identify a set of frequent mobility patterns; determining whether an unassociated client device exhibits a threshold number of frequent mobility patterns for a threshold amount of time; and determining that the unassociated client device presents in the site in response to the unassociated client device exhibiting the threshold number of the frequent mobility patterns for the threshold amou

Abstract: Examples disclosed herein relate to determining a scale associated with received signal strength indicators (RSSIs). In one example, a computing device receives access point (AP) RSSIs. The RSSIs are determined at APs. The APs are associated with coordinate information. In one example, records are maintained for AP reference pairs. Each AP RSSI can be determined at one AP with reference to another AP. In one example, the computing device determines a scale associated with each record.

Abstract: Example implementations relate to client boundary location. For example, a non-transitory computer readable medium storing instructions executable by a processing resource to cause a computer to estimate a location of a client within a first boundary; determine whether there is a pathway between the first boundary and a second boundary for the client to move; and indicate whether the client is in the first boundary or the second boundary based on the determination of the pathway and the estimated location of the client.

Abstract: Example implementations relate to network deployment of devices. For example, a non-transitory computer readable medium storing instructions executable by a processing resource can determine a plurality of deployment thresholds of a plurality of devices, wherein the plurality of deployment thresholds are associated with a type of the plurality of devices. The instructions can cause the processing resource to monitor deployment data associated with the plurality of devices to identify a device with a deployment outlier. The device with the deployment outlier is a device with deployment data that is outside a deployment threshold of the device. The instructions can cause the processing resource to adjust the deployment threshold of the device based on the monitoring.

Abstract: Examples disclosed herein relate to determining a scale associated with received signal strength indicators (RSSIs). In one example, a computing device receives access point (AP) RSSIs. The RSSIs are determined at APs. The APs are associated with coordinate information. In one example, records are maintained for AP reference pairs. Each AP RSSI can be determined at one AP with reference to another AP. In one example, the computing device determines a scale associated with each record.

Abstract: Example implementations relate to network deployment of devices. For example, a non-transitory computer readable medium storing instructions executable by a processing resource can determine a plurality of deployment thresholds of a plurality of devices, wherein the plurality of deployment thresholds are associated with a type of the plurality of devices. The instructions can cause the processing resource to monitor deployment data associated with the plurality of devices to identify a device with a deployment outlier. The device with the deployment outlier is a device with deployment data that is outside a deployment threshold of the device. The instructions can cause the processing resource to adjust the deployment threshold of the device based on the monitoring.

Abstract: Example implementations relate to client boundary location. For example, a non-transitory computer readable medium storing instructions executable by a processing resource to cause a computer to estimate a location of a client within a first boundary; determine whether there is a pathway between the first boundary and a second boundary for the client to move; and indicate whether the client is in the first boundary or the second boundary based on the determination of the pathway and the estimated location of the client.

Abstract: Examples disclosed herein relate to determining a scale associated with received signal strength indicators (RSSIs). In one example, a computing device receives access point (AP) RSSIs. The RSSIs are determined at APs. The APs are associated with coordinate information. In one example, records are maintained for AP reference pairs. Each AP RSSI can be determined at one AP with reference to another AP. In one example, the computing device determines a scale associated with each record.

Abstract: Authentication keys are selectively cached locally for faster roaming of wireless stations in a communication network. An attempt by a station to reassociate with an access point is detected. Responsive to identifying a key corresponding to the station as evidence of a previous association, the key is retrieved from the key cache without contracting a controller or an authentication server, for faster responses. At least one modified response frame is generated to include the identified key along with an approval of the association between the access point and the station. The at least one modified response is sent from the access point to the station. An attempt to roam to a station for a first time is detected responsive to a key cache miss at the access point. If the station has previously associated with an access point under purview of the controller, keys are located and sent back to the access point without contacting an authentication server as an improvement over IEEE 802.11r.

Abstract: Systems, methods and computer program products to perform multi-modality vertebrae recognition are provided. Aspects of the present disclosure disclosed and described herein enable a multi-modality vertebrae recognition engine that recognizes vertebrae by using a three-stage recognition approach: landmark detection, global shape registration, and local pose adjustment. These stages cover the matching from local to global spine structures. The three stages are implemented by three modules in the hierarchical deformable model, the local appearance module, global geometry model, and local geometry model. According to one aspect of the present disclosure, the overall workflow can be understood as a three-stage top-down registration. The goal of the registration is: 1) to align the global shape of the spine model, and 2) to align the vertebrae poses with the local image structures around identified landmarks.

Abstract: According to one embodiment of the invention, a method for mitigating duplication of multicast data streams to wireless client devices. The method comprises the operations of detecting, by one or more network devices, a multicast message, and controlling, by the one or more network devices, a forwarding of information within the multicast message to a network device handling multicast data transmissions. The forwarding is controlled based on information within the multicast message and the presence of such information in prior established data structure.

Abstract: According to one embodiment of the invention, a method for mitigating duplication of multicast data streams to wireless client devices. The method comprises the operations of detecting, by one or more network devices, a multicast message, and controlling, by the one or more network devices, a forwarding of information within the multicast message to a network device handling multicast data transmissions. The forwarding is controlled based on information within the multicast message and the presence of such information in prior established data structure.