Abstract: In one example of the disclosure, identify data indicative of identity of a user of a mobile device is obtained. Route data indicative of a set of routes provided by a travel provider is obtained. Movement data indicative of movement of the mobile device is obtained from the mobile device. The movement data was determined utilizing a geolocational recognition component at the mobile device without reference to infrastructure of the travel provider. A journey taken by the user and a charge for the journey are determined based upon the identity data, the movement data, and the route data. Journey data indicative of the journey and charge data indicative of the charge are provided to the mobile device for presentation.

Abstract: In example implementations, dialog keywords are extracted from a dialog of participants as a search query. The dialog keywords represent primary concepts of the dialog. The search query is modified based on a personalized profile of a participant generated from at least a contextual information source regarding the participant other than prior search queries made by the participant. The modified search query is evaluated against an information store to retrieve search results relevant to the modified search query, and the search results output to the participant.

Abstract: Examples relate to digital context aware (DCA) data collection. In some examples, a DCA start location component is positioned at a first location along a travel route, and a DCA end location component is positioned at a second location along the travel route. In response to using a wireless interface to detect the DCA start location component, data collection of measurements by a sensor are initiated. In response to using the wireless interface to detect the DCA end location component, the data collection by the sensor is halted.

Abstract: Various embodiments of the present technology can include systems, methods, and non-transitory computer readable media configured to receive information about a plurality of regions contained within a hierarchy of a computer network environment, wherein the plurality of regions are assigned respective prime numbers. A first prime number assigned to a first region of the plurality of regions is determined. A second prime number assigned to a second region of the plurality of regions, wherein the second prime number is different from the first prime number is determined. A nearest common region in the hierarchy that includes the first region and the second region based on the respective prime numbers is identified. A security policy associated with the nearest common region is determined.

Abstract: Example implementations relate to an implantable device that can accommodate a vessel of a living body and can detect light transmitted across the vessel. The implantable device transmits a wireless transmitter signal corresponding to the intensity of the detected light. The intensity of the detected light correlates to patency of the vessel.

Abstract: Examples associated with relationship preserving projection of digital objects are disclosed. One example includes identifying suitable locations within a physical space for projection of digital objects. The digital objects may be stored in a virtual space. A representation of a first digital object from the virtual space may be projected onto a first suitable location in the physical space and a representation of a second digital object from the virtual space may be projected onto a second suitable location in the physical space. The first suitable location and the second suitable location may preserve a spatial relationship between the first digital object and the second digital object.

Abstract: Various embodiments of the present technology can include systems, methods, and non-transitory computer readable media configured to receive information about a plurality of regions contained within a hierarchy of a computer network environment, wherein the plurality of regions are assigned respective prime numbers. A first prime number assigned to a first region of the plurality of regions is determined. A second prime number assigned to a second region of the plurality of regions, wherein the second prime number is different from the first prime number is determined. A nearest common region in the hierarchy that includes the first region and the second region based on the respective prime numbers is identified. A security policy associated with the nearest common region is determined.

Abstract: Examples associated with room capture and projection are disclosed. One example includes an information management module that may maintain information regarding a virtual space and a first digital object within the virtual space. The first digital object may be associated with an artifact in a physical space. A room calibration module may map the virtual space to the physical space using sensors to detect attributes of the physical space. A capture module may record a modification to the artifact to be maintained by the information management module. A projection module may project a representation of a second digital object into the physical space. The representation may be projected based on a signal from the information management module.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a notification of a user request to securely process a first set of data. A time estimate is calculated, wherein the time estimate is indicative of an expected amount of time for a secure data processing application to process the first set of data. An actual utilization time required for a first instance of the secure data processing application to process the first set of data is measured. A determination is made as to whether the secure data processing application may be compromised based on a comparison of the time estimate and the actual utilization time. In various embodiments, a re-cryptor process is used to change the cryptographic keys accessed by the secure data processing application. In various embodiments, a re-credentialer is used to change the database access credentials the secure data processing application used to access the encrypted data.

Abstract: Various embodiments of the present technology can include systems, methods, and non-transitory computer readable media configured to receive request information associated with a first request. The request information comprises user information associated with a first user. A first usage threshold associated with the first user is determined based on the user information. A determination is made that the first request has exceeded the first usage threshold. The first request is automatically terminated based on the determination that the first request has exceeded the first usage threshold.

Abstract: According to examples, an apparatus includes a processor and a memory on which is stored machine readable instructions. The instructions may cause the processor to acquire technical characteristics of a client workload, access client policies, determine an infrastructure to implement the client workload based upon the acquired technical characteristics of the client workload, determine, based upon the determined server sizing and the accessed client policies, a recommended hosting provider that is to host the client workload, and output the determined server sizing and the recommended hosting provider.

Abstract: An example method for determining an influence score of a social media blog domain in accordance with aspects of the present disclosure includes receiving data regarding asocial media blog domain based on relevancy to a plurality of keywords, extracting values from the data for a set of categories of metrics for the social media blog domain, assigning a weight to each metric, and calculating an influence score for the social media blog domain based on the weight of the extracted values for each social media profile. The set of categories comprises social engagement, activity, social media page influence and social media blog domain influence.

Abstract: In some examples, image based target analysis may include performing a search to identify an image, and determining whether a target is present in the image, and image metadata. Image based target analysis may further include performing, in response to a determination that the target is present in the image, based on a relationship of the target to an entity, and the image metadata, a further search to identify another image, and generating, based on the image and/or the other image, a result indicative of further information on the target.

Abstract: A system includes a federated marketplace portal to allow a user to browse, order, and manage business services offered by a plurality of cloud marketplaces based at least in part on application programming interface (API) abstractions. The system includes an integration system to transform the API abstractions into product-specific APIs used by the cloud marketplaces and cause the invocation of the product-specific APIs.

Abstract: Examples of 3D-printed sensing devices for detecting vascular conditions in an animal body are described. A 3D-printed sensing device may comprise a binding layer to attach the 3D-printed sensing device to a part of the animal body. A sensor layer is extruded atop the binding layer. The sensor layer comprises a piezoresistive transducer to generate an electrical signal based on a pulse detected in the part of the animal body. In an example, the electrical signal is a binary signal having a logical high value at an instant of occurrence of the pulse and is agnostic of a strength of the pulse. An amplification module in the sensor layer may amplify the electrical signal and provide the amplified signal to a transmitter unit of the 3D-printed sensing device to transmit the amplified signal to a monitoring device associated with the 3D-printed sensing device.

Abstract: An example system receives a plurality of event streams. A separate stream rule is applied to each individual event stream to produce a filtered output event stream. The system also applies a correlation rule to the filtered output event streams to produce correlated event results.

Abstract: In example implementations, dialog keywords are extracted from a dialog of participants as a search query. The dialog keywords represent primary concepts of the dialog. The search query is modified based on a personalized profile of a participant generated from at least a contextual information source regarding the participant other than prior search queries made by the participant. The modified search query is evaluated against an information store to retrieve search results relevant to the modified search query, and the search results output to the participant.

Abstract: In some examples, image based target analysis may include performing a search to identify an image, and determining whether a target is present in the image, and image metadata. Image based target analysis may further include performing, in response to a determination that the target is present in the image, based on a relationship of the target to an entity, and the image metadata, a further search to identify another image, and generating, based on the image and/or the other image, a result indicative of further information on the target.

Abstract: In one example of the disclosure, identify data indicative of identity of a user of a mobile device is obtained. Route data indicative of a set of routes provided by a travel provider is obtained. Movement data indicative of movement of the mobile device is obtained from the mobile device. The movement data was determined utilizing a geolocational recognition component at the mobile device without reference to infrastructure of the travel provider. A journey taken by the user and a charge for the journey are determined based upon the identity data, the movement data, and the route data. Journey data indicative of the journey and charge data indicative of the charge are provided to the mobile device for presentation.

Abstract: An example system receives a plurality of event streams. A separate stream rule is applied to each individual event stream to produce a filtered output event stream. The system also applies a correlation rule to the filtered output event streams to produce correlated event results.