Abstract: System and method for adjusting side mirrors capture, by a primary camera, a facial image of a driver; estimate a 3D eye location with respect to a 3D coordinate of the primary camera based on the captured facial image; map the estimated 3D eye location to a respective set of pitch and yaw of the side mirror based on a look up table; and rotate the side mirror to a target position in accordance with the respective set of pitch and yaw. The lookup table includes a plurality of rows, each containing a pair of a key and a set of values. The key is a set of three parameters of 3D line of locations where the driver can observe an optimal view behind the vehicle, and the set of values includes a set of pitch and yaw of the side mirror corresponding to the 3D line of locations.

Abstract: A method for adjusting a side mirror of a vehicle includes capturing, by a primary camera provided in front of a driver of the vehicle, a facial image of the driver; estimating a 3D eye location with respect to a 3D coordinate of the primary camera based on the captured facial image; mapping the estimated 3D eye location to a respective set of pitch and yaw angles of the side mirror based on a lookup table; and rotating the side mirror to a target position in accordance with the respective set of pitch and yaw angles. The lookup table includes a plurality of rows, each row containing a pair of a key and a set of values. The key is a 3D eye location, and the set of values includes a set of pitch and yaw angles of the side mirror corresponding to the 3D eye location.

Abstract: Embodiments described herein may be related to apparatuses, processes, systems, and/or techniques for analyzing a wafer for defects using cross-section analysis by applying a sacrificial layer on a surface of the wafer prior to forming a cavity into the wafer for analysis. In embodiments, an epoxy material may be placed into the cavity after analysis, and a capping layer placed on top of the epoxy material. The sacrificial layer, which may contain dislodged particles or debris from the formation of the cavity on its surface, is then removed, providing a clean surface on the wafer. The wafer may then be reintroduced into the manufacturing line for further processing. Other embodiments may be described and/or claimed.

Abstract: Aspects of the subject disclosure may include, for example, a drone service retrieving network state information describing a network state of at least a portion of a communication network, determining an impact of the network state on operation of an unmanned aerial vehicle (UAV), selecting a carrier frequency to be used for communication by the UAV, and providing the data describing the carrier frequency to the UAV and/or to communication network nodes. Other embodiments are disclosed.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a first performance characteristic of first base station equipment, wherein the first base station equipment is actively communicating with a user equipment via a first network connection. The method can further include, based on the first performance characteristic being in a condition in relation to a first threshold, determining, by the system, to execute a handover of the user equipment to a second network connection with second base station equipment, resulting in a handover determination. Further, the method can include, based on the handover determination, facilitating, by the system, executing the handover of the user equipment to the second network connection.

Abstract: The described technology is generally directed towards intelligent dual-connectivity for non-standalone network nodes. Network nodes can report state information to a central controller, such as a radio access network intelligent controller. The controller can determine, based on the state information reported by multiple network nodes, network nodes to cooperate in non-standalone mode. The controller can provide the network nodes with instructions to implement the controller's non-standalone relationship determinations.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a user equipment communicatively coupled to base station equipment via a first network connection implementing a first radio access technology and a second network connection implementing a second radio access technology. The method can further include identifying, by the system, performance characteristics of the first network connection and the second network connection. Further, the method can include, based on the first performance characteristic and the second performance characteristic, facilitating, by the system, allocating, to the user equipment, power for uplink transmission by the first network connection and the second network connection, resulting in an uplink power allocation.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a first performance characteristic of first base station equipment, wherein the first base station equipment is actively communicating with a user equipment via a first network connection. The method can further include, based on the first performance characteristic being in a condition in relation to a first threshold, determining, by the system, to execute a handover of the user equipment to a second network connection with second base station equipment, resulting in a handover determination. Further, the method can include, based on the handover determination, facilitating, by the system, executing the handover of the user equipment to the second network connection.

Abstract: Aspects of the subject disclosure may include, for example, a drone service retrieving network state information describing a network state of at least a portion of a communication network, determining an impact of the network state on operation of an unmanned aerial vehicle (UAV), determining operational information for the UAV, and providing the operational information to the UAV. Other embodiments are disclosed.

Abstract: The described technology is generally directed towards intelligent dual-connectivity for non-standalone network nodes. Network nodes can report state information to a central controller, such as a radio access network intelligent controller. The controller can determine, based on the state information reported by multiple network nodes, network nodes to cooperate in non-standalone mode. The controller can provide the network nodes with instructions to implement the controller's non-standalone relationship determinations.

Abstract: The disclosed technology is directed towards associating a distributed unit (a baseband function) with a radio unit, corresponding to a service area, when the radio unit transitions from an idle state to an active state with respect to serving user equipment. When an idle radio unit receives a message requesting connection from a formerly idle user equipment, or user equipment to be served due to a handover, the message triggers assignment of a distributed unit to the radio unit, whereby the radio unit becomes active to serve the user equipment. If insufficient distributed unit capacity exists, a new distributed unit is dynamically instantiated and assigned to the radio unit. When a radio unit transitions from active to idle, the radio unit is disassociated from the distributed unit. If a distributed unit is not associated with any radio unit, the distributed unit is deactivated to reduce resource consumption.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a user equipment communicatively coupled to base station equipment via a first network connection implementing a first radio access technology and a second network connection implementing a second radio access technology. The method can further include identifying, by the system, performance characteristics of the first network connection and the second network connection. Further, the method can include, based on the first performance characteristic and the second performance characteristic, facilitating, by the system, allocating, to the user equipment, power for uplink transmission by the first network connection and the second network connection, resulting in an uplink power allocation.

Abstract: The disclosed technology is directed towards associating a distributed unit (a baseband function) with a radio unit, corresponding to a service area, when the radio unit transitions from an idle state to an active state with respect to serving user equipment. When an idle radio unit receives a message requesting connection from a formerly idle user equipment, or user equipment to be served due to a handover, the message triggers assignment of a distributed unit to the radio unit, whereby the radio unit becomes active to serve the user equipment. If insufficient distributed unit capacity exists, a new distributed unit is dynamically instantiated and assigned to the radio unit. When a radio unit transitions from active to idle, the radio unit is disassociated from the distributed unit. If a distributed unit is not associated with any radio unit, the distributed unit is deactivated to reduce resource consumption.

Abstract: The disclosed technology is directed towards associating a distributed unit (a baseband function) with a radio unit, corresponding to a service area, when the radio unit transitions from an idle state to an active state with respect to serving user equipment. When an idle radio unit receives a message requesting connection from a formerly idle user equipment, or user equipment to be served due to a handover, the message triggers assignment of a distributed unit to the radio unit, whereby the radio unit becomes active to serve the user equipment. If insufficient distributed unit capacity exists, a new distributed unit is dynamically instantiated and assigned to the radio unit. When a radio unit transitions from active to idle, the radio unit is disassociated from the distributed unit. If a distributed unit is not associated with any radio unit, the distributed unit is deactivated to reduce resource consumption.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a user equipment communicatively coupled to base station equipment via a first network connection implementing a first radio access technology and a second network connection implementing a second radio access technology. The method can further include identifying, by the system, performance characteristics of the first network connection and the second network connection. Further, the method can include, based on the first performance characteristic and the second performance characteristic, facilitating, by the system, allocating, to the user equipment, power for uplink transmission by the first network connection and the second network connection, resulting in an uplink power allocation.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a first performance characteristic of first base station equipment, wherein the first base station equipment is actively communicating with a user equipment via a first network connection. The method can further include, based on the first performance characteristic being in a condition in relation to a first threshold, determining, by the system, to execute a handover of the user equipment to a second network connection with second base station equipment, resulting in a handover determination. Further, the method can include, based on the handover determination, facilitating, by the system, executing the handover of the user equipment to the second network connection.

Abstract: The described technology is generally directed towards intelligent dual-connectivity for non-standalone network nodes. Network nodes can report state information to a central controller, such as a radio access network intelligent controller. The controller can determine, based on the state information reported by multiple network nodes, network nodes to cooperate in non-standalone mode. The controller can provide the network nodes with instructions to implement the controller's non-standalone relationship determinations.

Abstract: A computer-implemented system for searching includes a data store accessible via a network for storing a data set; an indexing system coupled to the network and indexing the data set, the indexing system configured to generate content vectors for terms in the data set; generate index vectors for terms in the data set; and generate a bitset signature from the index vector. The system further includes a search module coupled to the network and configured to receive a search query and perform a search on one or more terms in the search query by accessing a bitset signature and content vector corresponding to the term; retrieving bitset signatures that are within a predetermined closeness to the bitset signature; selecting content vectors corresponding to retrieved bitset signatures; and selecting content vectors that are within a predetermined similarity to the term content vector; and return the terms corresponding to the content vectors.

Abstract: A user device for professional workflow assistance provides decision support in the form of concise alerts in the form of immediate feedback (real-time or near real-time) analysis performed by a user device application based on locally stored rules. The decision support is rendered in a timely manner in a current session with the patient, client or customer to maintain a context of the information gathering and the concurrent consideration of the decision support provided. The decision maker need not retreat to an office or separate location for consideration and analysis of the decision support results, but instead immediately considers the application generated results on the rendering screen of the user device.

Abstract: A data entry form rendered on a screen display is based on a user provided form such that the appearance and field positions of the screen display simulates the paper form that is familiar to the user. The rendered form identifies field positions based on a scan of the paper form, and a Graphical User Interface receives user input for attributes for each identified field. Fields are mapped to metadata for specifying the attributes, such as data type, ranges, and manner of entry. Subsequent data entry based on the generated form provides a user experience similar to the corresponding paper form for mitigating any change in workflow or thought process based on the form. In this manner, a repeatable processes which can be reduced to templated data entry may be transformed to electronic forms without deviating from the visual cues afforded by the paper forms that the office staff and professionals have become accustomed to.