Abstract: Systems and methods for probabilistic semantic sensing in a sensory network are disclosed. The system receives raw sensor data from a plurality of sensors and generates semantic data including sensed events. The system correlates the semantic data based on classifiers to generate aggregations of semantic data. Further, the system analyzes the aggregations of semantic data with a probabilistic engine to produce a corresponding plurality of derived events each of which includes a derived probability. The system generates a first derived event, including a first derived probability, that is generated based on a plurality of probabilities that respectively represent a confidence of an associated semantic datum to enable at least one application to perform a service based on the plurality of derived events.

Abstract: An ultrasound generator having a signal generator; and to generate a pulsed drive signal from a modulating signal, the pulsed drive signal having at least a zero output level, a positive output level and a negative output level. The position and width of pulses are defined by at least first and second switching angles per half cycle of the modulating signal. In part of the range of the modulating signal one switching angle increases while the other switching angle decreases simultaneously such that the fundamental frequency of the pulsed drive signal increases or decreases with the modulating signal and such that a selected harmonic component of the generated pulsed drive signal is maintained below a first threshold. A transducer is arranged to generate ultrasound in response to the pulsed drive signal.

Abstract: Methods and systems are provided for providing help regarding an in-app issue with an application using a contextual help system. Help can be provided automatically based on an analysis of in-app events leading up to the indication for help with the in-app issue. Automatic help can be provided in the form of help content determined to be likely to resolve the in-app issue. When no help content is determined to be likely to resolve the issue, the in-app events can be converted into a human-readable form and sent to a live help desk for use in resolving the issue. In this way, in-app issues can be resolved based on evaluations of the in-app event leading up the occurrence of the issue.

Abstract: In an example embodiment, user interactions with a software component may be tracked in an efficient manner. Specifically, an analytics tracking request triggered by user interaction with a software component is received. Then a value assigned to the user is retrieved. It is then determined if the value assigned to the user exceeds a value threshold assigned to the analytics tracking request. Based on a comparison between the value assigned to the user and the threshold value, an analytics tracking function associated with the analytics tracking request is launched.

Abstract: Systems and methods for probabilistic semantic sensing in a sensory network are disclosed. The system receives raw sensor data from a plurality of sensors and generates semantic data including sensed events. The system correlates the semantic data based on classifiers to generate aggregations of semantic data. Further, the system analyzes the aggregations of semantic data with a probabilistic engine to produce a corresponding plurality of derived events each of which includes a derived probability. The system generates a first derived event, including a first derived probability, that is generated based on a plurality of probabilities that respectively represent a confidence of an associated semantic datum to enable at least one application to perform a service based on the plurality of derived events.

Abstract: Facilitating analysis of user interface gesture patterns is described. In example implementations, a computing device acquires data that describes a user interface gesture pattern, such as finger movements on a touchscreen, in terms of pixels of a visual display. A repetitive arrangement of polygons, such as a grid of rectangles, is logically overlaid on the visual display. The computing device transforms the pixel-based data into polygon-based data that represents the gesture pattern in terms of polygons traversed by the gesture pattern. The computing device also converts the polygon-based data into text-based data such that the gesture pattern is represented by textual characters, such as a text string. The text string can include, for instance, a list of polygons traversed by the gesture pattern. The text-based data is forwarded to a service that can efficiently analyze relationships that may exist among multiple gesture patterns across multiple devices or end users.

Abstract: An active sound management system comprises a transducer that senses an actual sound or vibration from a sound generating source and generates a transducer signal in response to sensing the actual sound or vibration; a harmonic extractor device that extracts a plurality of harmonics from the transducer signal; and a harmonic modifier device that adjusts a feature of the extracted harmonic to be within a predetermined threshold with respect to a target harmonic corresponding to a desired sound.

Abstract: Certain embodiments involve determining visual context associated with user behavior and associating the visual context with the user behavior. For example, a system captures a portion of a user interface provided to a user at a time of a user action on the user interface. The captured portion can include digital content and the system can detect the digital content. The system can also generate a digital representation of the digital content. The digital representation can indicate the digital and exclude the digital content. The system can determine a visual context associated with the user action based on the generated digital representation. The visual context describes the digital content displayed via the user interface at the time of the user action. The system can also determine subsequent digital content to output to the user to create a subsequent visual context to encourage a particular user behavior.

Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.

Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.

Abstract: Techniques and system are described to control output of digital marketing content with respect to a digital video that address the added complexities of digital video over other types of digital content, such as webpages. In one example, the techniques and systems are configured to control a time, at which, digital marketing content is to be output with respect to the digital video, e.g., by selecting a commercial break or output as a banner ad in conjunction with the video.

Abstract: Techniques and system are described to control output of digital marketing content with respect to digital content. This is achieved by leveraging additional insight that may be gained from external service systems that describe the digital content, e.g., social network systems, digital content review systems, and so forth. In one example, the techniques and systems are configured to collect social network data that describes social network communications communicated via a social network system. Natural language processing techniques are then performed as part of machine learning to detect interest of a user population associated with the social network communications.

Abstract: A securing assembly for an article, said securing assembly including: a footing adapted to be securable to a floor or a similar supporting surface underneath said article; a securing rod dimensioned and arranged to be releasably and rigidly securable between said article and said footing.

Abstract: Facilitating location-aware analysis is described. In some embodiments, a database building module is configured to build a point of interest (POI) database based on a tree data structure that includes multiple nodes respectively corresponding to multiple areas. The database building module includes a content node processing module that inserts an entry in the POI database having a content field populated by a POI descriptor included with a content node. The database building module also includes a reference node processing module that inserts an entry having multiple reference fields respectively populated with area indicators corresponding to multiple subnodes of a reference node. In other embodiments, a POI database search module is configured to search a POI database to ascertain multiple POIs with regard to a location of a computing device. The search module searches key fields of reference entries and content entries using an area indicator matching the computing device's location.

Abstract: A pharmaceutical composition with a peptide analog of apelin, and a method of treatment for various conditions are described. An exemplary embodiment is a peptide analog comprising at least residues 2-13 of SEQ ID NO: 1 and further comprising at least a substitution or modification at residue 13 of SEQ ID NO: 1. A pharmaceutical composition comprising the peptide analog of the present invention and method of treatment for diabetes, stimulating insulin release, and moderating blood glucose excursions by administering the peptide analog of the present invention to a patient in need thereof are described.

Abstract: An active sound management system comprises a transducer that senses an actual sound or vibration from a sound generating source and generates a transducer signal in response to sensing the actual sound or vibration; a harmonic extractor device that extracts a plurality of harmonics from the transducer signal; and a harmonic modifier device that adjusts a feature of the extracted harmonic to be within a predetermined threshold with respect to a target harmonic corresponding to a desired sound.

Abstract: Facilitating analysis of user interface gesture patterns is described. In example implementations, a computing device acquires data that describes a user interface gesture pattern, such as finger movements on a touchscreen, in terms of pixels of a visual display. A repetitive arrangement of polygons, such as a grid of rectangles, is logically overlaid on the visual display. The computing device transforms the pixel-based data into polygon-based data that represents the gesture pattern in terms of polygons traversed by the gesture pattern. The computing device also converts the polygon-based data into text-based data such that the gesture pattern is represented by textual characters, such as a text string. The text string can include, for instance, a list of polygons traversed by the gesture pattern. The text-based data is forwarded to a service that can efficiently analyze relationships that may exist among multiple gesture patterns across multiple devices or end users.

Abstract: A digital medium environment is described to control provision of digital content within a physical environment to a mobile device associated with a user. User identification data and position data are received. The position data describes a physical location at which the mobile device is disposed within the physical environment. A user profile is selected based on the user identification data. The user profile describes user online interaction with digital content. Digital content is generated that is personalized based on the selected user profile and the position data. Output is then controlled of the generated digital content to the mobile device.

Abstract: This invention relates to compositions for use in the treatment of diabetes, for example type-2 diabetes; obesity; and/or metabolic syndrome. Specifically, the invention relates to a composition for use in the treatment of diabetes, the composition comprising at least one of diindolylmethane; indole-3-carbinol; embelin; [6]-gingerol; and [6]-shogaol, or combinations each thereof. Also disclosed is use in the treatment of obesity and use in the treatment of metabolic syndrome.

Abstract: Techniques allow owners of Internet of Things (IoT) devices to provide specific access to data from their IoT devices to requesters of data. A request for data from an IoT device is received from a requester, and the request is provided to the owner of the IoT device. An indication of acceptance by the owner is provided for the request. A public key of a public/private key pair associated with the accepted requester is received. A plurality of datapoints from the IoT device is also received. At least one datapoint of the plurality of datapoints is encrypted with the public key of the requester. The encrypted at least one datapoint is then sent to the requester, where the requester can decrypt the encrypted at least one datapoint using the private key of the public/private key pair.