Abstract: An example apparatus, a computer-implemented method, and a computer program product for utilizing a plurality of sensors on a head-mounted display to unlock locked features of the head-mounted display are provided. The example apparatus includes a head-mounted display, a plurality of sensors mounted on the head-mounted display and configured to detect a gesture of a user of the head-mounted display, and a multi-modal unlocking model. The multi-modal unlocking model further includes one or more processors and one or more storage devices storing instructions that are operable, when executed by the one or more processors, to cause the one or more processors to detect a gesture sequence passcode comprising one or more passcode gestures in a series of passcode gestures delimited by a physical interaction with the head-mounted display, and unlock a locked feature of the head-mounted display based on the gesture sequence passcode.

Abstract: The present disclosure may be embodied as a probe for determining a position and pose of an anisotropic magnetic marker having a known size, shape, and magnetization. The probe has a substrate having a first side, a second side, a longitudinal axis, and a transverse axis. A first magnetic sensor is on the first side of the substrate. A second magnetic sensor is on the first side of the substrate and spaced apart from the first magnetic sensor along the longitudinal axis of the substrate and spaced apart from the first magnetic sensor along the transverse axis of the substrate. A third magnetic sensor is on the second side of the substrate. Each of the first magnetic sensor, the second magnetic sensor, and the third magnetic sensor is a multidimensional magnetic sensor. A processor is configured to determine a disposition of the magnetic marker in five degrees of freedom.

Abstract: An exemplary method for detecting magnetic noise comprises: receiving a set of magnetic field gradient values obtained using a probe device; providing the set of magnetic field gradient values to a neural network to predict a marker state of a magnetic marker; providing the predicted marker state from the neural network to a magnetic field gradient prediction model to generate a predicted set of magnetic field gradient values; comparing the set of magnetic field gradient values obtained using the probe device with the set of predicted magnetic field gradient values; and providing a magnetic noise indicator depending on the comparison between the set of magnetic field gradient values obtained using the probe device and the set of predicted magnetic field gradient values.

Abstract: A method and system for localizing a target (e.g., a fiducial marker, or other target) in an individual. The method includes transmitting an ultrasonic signal from a transducer array. Radiofrequency (RF) signal data is generated based on a reflected signal received at the transducer array. The reflected signal results from the transmitted ultrasonic signal, and at least a portion of the reflected signal includes a signal reflected from the target. A location of the target is determined relative to the transducer array based on the RF signal data. The location may include a distance from the target to the transducer array and/or a direction of the target relative to the transducer array. A location indicator is provided to an operator. The location indicator is based on the determined location of the target.

Abstract: The present disclosure may be embodied as a probe for determining a position and pose of an anisotropic magnetic marker having a known size, shape, and magnetization. The probe has a substrate having a first side, a second side, a longitudinal axis, and a transverse axis. A first magnetic sensor is on the first side of the substrate. A second magnetic sensor is on the first side of the substrate and spaced apart from the first magnetic sensor along the longitudinal axis of the substrate and spaced apart from the first magnetic sensor along the transverse axis of the substrate. A third magnetic sensor is on the second side of the substrate. Each of the first magnetic sensor, the second magnetic sensor, and the third magnetic sensor is a multidimensional magnetic sensor. A processor is configured to determine a disposition of the magnetic marker in five degrees of freedom.

Abstract: An example networked controlling device, a wearable electronic device, and a computer-implemented method for using a networked controlling device to transmit a wireless control message to a target wireless networked node are provided. An example networked controlling device includes one or more processors configured to determine a position and an orientation of the networked controlling device relative to one or more wireless networked nodes in communication with a wireless network. The networked controlling device further configured to determine a pointing vector of the networked controlling device based at least in part on the position and the orientation; and transmit, on the wireless network, a wireless control message comprising pointing vector data representing the pointing vector, wherein the wireless control message is accepted by at least one wireless networked node of the one or more wireless networked nodes based at least in part on the pointing vector data.

Abstract: An example apparatus, a computer-implemented method, and a computer program product for utilizing a plurality of sensors on a head-mounted display to unlock locked features of the head-mounted display are provided. The example apparatus includes a head-mounted display, a plurality of sensors mounted on the head-mounted display and configured to detect a gesture of a user of the head-mounted display, and a multi-modal unlocking model. The multi-modal unlocking model further includes one or more processors and one or more storage devices storing instructions that are operable, when executed by the one or more processors, to cause the one or more processors to detect a gesture sequence passcode comprising one or more passcode gestures in a series of passcode gestures delimited by a physical interaction with the head-mounted display, and unlock a locked feature of the head-mounted display based on the gesture sequence passcode.

Abstract: Concealed air vent apparatus in a vehicle and a method thereof is provided. The apparatus includes an air vent casing, at least one air directing flap, at least one air diffusing flap, at least one closing flap, an air directing flap actuator, an air diffusing flap actuator and a closing flap actuator. The air diffusing flap actuator is adapted to move air diffusing flap to a diffused position in which a plurality of air diffusing portions of air diffusing flap is adapted to facilitate uniform distribution of air to an occupant compartment. The closing flap actuator is adapted to move closing flap between an open position in which closing flap is adapted to allow air flow to the occupant compartment, and a closed position in which closing flap is adapted to restrict air flow to the occupant compartment.

Abstract: An embodiment may involve a database containing a first user profile that specifies a first preferred language of a first user and a second user profile that specifies a second preferred language of a second user. The embodiment may also involve one or more processors configured to: receive, from the first user and within a chat session, a first set of messages in the first preferred language; cause the first set of messages to be translated into the second preferred language; provide, to the second user and within the chat session, the first set of messages as translated; receive, from the second user and within the chat session, a second set of messages in the second preferred language; cause the second set of messages to be translated into the first preferred language; and provide, to the first user and within the chat session, the second set of messages as translated.

Abstract: A structured data store service, such as a database service, may implement fine-grained access to data maintained at the database service using federated identity. Fine grained access requests may be received at a database service for specified data maintained for an application provider from a client of the application provider. An access credential may be also be received. Verification of the access credential may be obtained, and the database service may evaluate the fine-grained access request according to a delegation policy corresponding to the access credential to determine whether the fine-grained request is authorized. If authorized, the fine-grained access request may be service. If not authorized, the fine-grained access request may be denied. In some embodiments, multiple application clients may have the same authorization for data, such as read authorization, while another one or more application clients may have different authorization for the data, such as write authorization.

Abstract: An example embodiment may involve a software application executable on computing devices of a remote network management platform containing a computational instance associated with a managed network. A text string may be received, and characters of the string may be categorized among a plurality of symbol script families. A respective likelihood of the string corresponding to each family may be determined, and a respective probability of the string being in each language of each given family may also be determined. The respective probabilities for the languages of each given family may be weighted by the likelihoods of the given family, and then weighted sums of the probabilities for each language may be computed. The maximum of the weighted sums may correspond to the language of the text string. The respective probabilities may be determined according to hybrid N-gram and word language models for each family.

Abstract: An embodiment may involve a database containing a first user profile that specifies a first preferred language of a first user and a second user profile that specifies a second preferred language of a second user. The embodiment may also involve one or more processors configured to: receive, from the first user and within a chat session, a first set of messages in the first preferred language; cause the first set of messages to be translated into the second preferred language; provide, to the second user and within the chat session, the first set of messages as translated; receive, from the second user and within the chat session, a second set of messages in the second preferred language; cause the second set of messages to be translated into the first preferred language; and provide, to the first user and within the chat session, the second set of messages as translated.

Abstract: An embodiment may involve a database containing a first user profile that specifies a first preferred language of a first user and a second user profile that specifies a second preferred language of a second user. The embodiment may also involve one or more processors configured to: receive, from the first user and within a chat session, a first set of messages in the first preferred language; cause the first set of messages to be translated into the second preferred language; provide, to the second user and within the chat session, the first set of messages as translated; receive, from the second user and within the chat session, a second set of messages in the second preferred language; cause the second set of messages to be translated into the first preferred language; and provide, to the first user and within the chat session, the second set of messages as translated.

Abstract: Techniques for generating a multidimensional database query are disclosed. A system receives a user-supplied natural language query and performs natural language processing to extract a literal from the natural language query. The system performs a lookup of the literal in one or more dictionary data structures associated with a multidimensional database, to determine that the literal is associated with a particular dimension of multiple dimensions in the multidimensional database. The system performs a lookup of the literal and the dimension in the one or more dictionary data structures, to determine that the literal is associated with a particular member of the dimension. The system generates a multidimensional database query to satisfy the user-supplied natural language query. The multidimensional database query includes a query clause that references the particular member of the dimension.

Abstract: An example embodiment may involve a software application executable on computing devices of a remote network management platform containing a computational instance associated with a managed network. A text string may be received, and characters of the string may be categorized among a plurality of symbol script families. A respective likelihood of the string corresponding to each family may be determined, and a respective probability of the string being in each language of each given family may also be determined. The respective probabilities for the languages of each given family may be weighted by the likelihoods of the given family, and then weighted sums of the probabilities for each language may be computed. The maximum of the weighted sums may correspond to the language of the text string. The respective probabilities may be determined according to hybrid N-gram and word language models for each family.

Abstract: In accordance with embodiments, methods for the recovery of security credentials of a Bluetooth mesh network are disclosed. A computing device of the Bluetooth mesh network receives user login information, and generates a network key of the Bluetooth mesh network based on the user login information. The computing device generates an application key of a first node to be provisioned based on user login information. A device key is generated using the unicast address of the first node and part of user credentials. The current sequence number is recovered by one of the four techniques depending on the characteristics of the network. The unicast addresses of the nodes are assumed to be sequential and later validated by sending messages. IV index is recovered using processes defined in the Bluetooth mesh standard. After recovery of the above parameters, the mesh network can operate normally using the aforementioned computing device.

Abstract: An example embodiment may involve a software application executable on computing devices of a remote network management platform containing a computational instance associated with a managed network. A text string may be received, and characters of the string may be categorized among a plurality of symbol script families. A respective likelihood of the string corresponding to each family may be determined, and a respective probability of the string being in each language of each given family may also be determined. The respective probabilities for the languages of each given family may be weighted by the likelihoods of the given family, and then weighted sums of the probabilities for each language may be computed. The maximum of the weighted sums may correspond to the language of the text string. The respective probabilities may be determined according to hybrid N-gram and word language models for each family.

Abstract: A database may contain text strings in a preferred language and in one or more other languages. One or more processors may be configured to: generate a graphical user interface containing the text strings in the preferred language and in the other languages, and a control for dynamic translation, wherein a first set of the text strings in the other languages are displayed within text input controls, and wherein a second set of the text strings in the other languages are not displayed within the text input controls; receive an activation indication of the control for dynamic translation; and generate an update to the graphical user interface that includes translations of the first set into the preferred language appearing adjacent to the first set in the other languages, and also translations of the second set into the preferred language replacing the second set in the other languages.

Abstract: Techniques for generating a report recommendation are disclosed. A system receives a request to display a report. The system computes report relevancy scores for other reports, based at least in part on a set of rules including one or more report relevancy criteria. Each report relevancy score measures relevancy of a particular report to the requested report. The system determines that a particular report relevancy score, associated with one of the other reports, satisfies one or more report recommendation criteria. Responsive to the request to display the requested report, the system displays the requested report and, based on the particular report relevancy score satisfying the one or more report recommendation criteria, also displays a recommendation corresponding to the other report.

Abstract: Techniques for processing a natural language query are provided. The techniques include obtaining a set of statistics representing a contextual significance of a set of words in a data model for a data set. Next, the set of statistics is used to match a set of semantic intents for a natural language query of the data set to one or more data elements in the data model. The data element(s) and the data set are then to generate a result of the natural language query, and the result is provided in a response to the natural language query.