Abstract: A high efficiency belt having reduced bending stiffness while maintaining a high coefficient of friction. The belt includes a backing layer, a rib material layer, and cords embedded within, wherein the coefficient of friction of the high efficiency belt is greater than or equal to 0.03 mm/N times the bending stiffness for belts having a thickness in the range of from 2.6 mm to 4.2 mm. The belt can include a bending stiffness in the range of from about 30 N/mm to about 65 N/mm and an anisotropic modulus of elasticity ratio of between 1.1 and 5.0. Methods of manufacturing the high efficiency belt are also described and can include forming sheets of rib material with parallel aligned reinforcement fibers transverse to the direction of rotation of the high efficiency belt.

Abstract: Sports and fitness applications for an autonomous unmanned aerial vehicle (UAV) are described. In an example embodiment, a UAV can be configured to track a human subject using perception inputs from one or more onboard sensors. The perception inputs can be utilized to generate values for various performance metrics associated with the activity of the human subject. In some embodiments, the perception inputs can be utilized to autonomously maneuver the UAV to lead the human subject to satisfy a performance goal. The UAV can also be configured to autonomously capture images of a sporting event and/or make rule determinations while officiating a sporting event.

Abstract: Sports and fitness applications for an autonomous unmanned aerial vehicle (UAV) are described. In an example embodiment, a UAV can be configured to track a human subject using perception inputs from one or more onboard sensors. The perception inputs can be utilized to generate values for various performance metrics associated with the activity of the human subject. In some embodiments, the perception inputs can be utilized to autonomously maneuver the UAV to lead the human subject to satisfy a performance goal. The UAV can also be configured to autonomously capture images of a sporting event and/or make rule determinations while officiating a sporting event.

Abstract: Described herein are embodiments of a pressure hose having an improved reinforcement layer. In some embodiments, the reinforcement layer of the pressure hose has a reinforcement volumetric ratio (RVR) of greater than or equal to 110%. The reinforcement layer can include a plurality of braided beams, with each beam comprising a plurality of ends. In some embodiments, the plurality of ends within a beam are arranged in a multi-layer orientation. In some embodiments, the number of ends and the end orientation within each beam is identical amongst all beams in the reinforcement layer. The shape, size, and arrangement of the ends within a beam can all be adjusted to increase the surface area to volume ratio and, correspondingly, the RVR of the reinforcement layer.

Abstract: Sports and fitness applications for an autonomous unmanned aerial vehicle (UAV) are described. In an example embodiment, a UAV can be configured to track a human subject using perception inputs from one or more onboard sensors. The perception inputs can be utilized to generate values for various performance metrics associated with the activity of the human subject. In some embodiments, the perception inputs can be utilized to autonomously maneuver the UAV to lead the human subject to satisfy a performance goal. The UAV can also be configured to autonomously capture images of a sporting event and/or make rule determinations while officiating a sporting event.

Abstract: Sports and fitness applications for an autonomous unmanned aerial vehicle (UAV) are described. In an example embodiment, a UAV can be configured to track a human subject using perception inputs from one or more onboard sensors. The perception inputs can be utilized to generate values for various performance metrics associated with the activity of the human subject. In some embodiments, the perception inputs can be utilized to autonomously maneuver the UAV to lead the human subject to satisfy a performance goal. The UAV can also be configured to autonomously capture images of a sporting event and/or make rule determinations while officiating a sporting event.

Abstract: A high efficiency belt having reduced bending stiffness while maintaining a high coefficient of friction. The belt includes a backing layer, a rib material layer, and cords embedded within, wherein the coefficient of friction of the high efficiency belt is greater than or equal to 0.03 mm/N times the bending stiffness for belts having a thickness in the range of from 2.6 mm to 4.2 mm. The belt can include a bending stiffness in the range of from about 30 N/mm to about 65 N/mm and an anisotropic modulus of elasticity ratio of between 1.1 and 5.0. Methods of manufacturing the high efficiency belt are also described and can include forming sheets of rib material with parallel aligned reinforcement fibers transverse to the direction of rotation of the high efficiency belt.

Abstract: Described herein are embodiments of a pressure hose having an improved reinforcement layer. In some embodiments, the reinforcement layer of the pressure hose has a reinforcement volumetric ratio (RVR) of greater than or equal to 110%. The reinforcement layer can include a plurality of braided beams, with each beam comprising a plurality of ends. In some embodiments, the plurality of ends within a beam are arranged in a multi-layer orientation. In some embodiments, the number of ends and the end orientation within each beam is identical amongst all beams in the reinforcement layer. The shape, size, and arrangement of the ends within a beam can all be adjusted to increase the surface area to volume ratio and, correspondingly, the RVR of the reinforcement layer.

Abstract: A high efficiency belt having reduced bending stiffness while maintaining a high coefficient of friction. The belt includes a backing layer, a rib material layer, and cords embedded within, wherein the coefficient of friction of the high efficiency belt is greater than or equal to 0.03 mm/N times the bending stiffness for belts having a thickness in the range of from 2.6 mm to 4.2 mm. The belt can include a bending stiffness in the range of from about 30 N/mm to about 65 N/mm and an anisotropic modulus of elasticity ratio of between 1.1 and 5.0. Methods of manufacturing the high efficiency belt are also described and can include forming sheets of rib material with parallel aligned reinforcement fibers transverse to the direction of rotation of the high efficiency belt.

Abstract: Some examples include detecting that a source computing device is in proximity to a target computing device. For instance, a user credential of the source computing device may be received from the source computing device. Further, a copy of system data of the source computing device may be retrieved from a cloud storage service. A system state of the source computing device may be restored on the target computing device by using the user credential received from the source computing device and the copy of the system data of the source computing device retrieved from the cloud storage. In some cases, the user credential may expire on the target computing device after a predetermined system event in the target computing device.

Abstract: Described herein are embodiments of a pressure hose having an improved reinforcement layer. In some embodiments, the reinforcement layer of the pressure hose has a reinforcement volumetric ratio (RVR) of greater than or equal to 110%. The reinforcement layer can include a plurality of braided beams, with each beam comprising a plurality of ends. In some embodiments, the plurality of ends within a beam are arranged in a multi-layer orientation. In some embodiments, the number of ends and the end orientation within each beam is identical amongst all beams in the reinforcement layer. The shape, size, and arrangement of the ends within a beam can all be adjusted to increase the surface area to volume ratio and, correspondingly, the RVR of the reinforcement layer.

Abstract: In some examples, an electronic device may determine a target time to which the remaining battery charge is to last, such as based on a user input or historical usage of the electronic device. Additionally, the electronic device may determine a current amount of the battery charge remaining, and may determine user activities likely to occur between the present time and the target time. Based at least partially on the amount of the battery charge remaining and the user activities determined to be likely to occur before the target time, the electronic device may apply one or more power management restrictions to one or more resources of the electronic device.

Abstract: Some examples of application state synchronization may include receiving, at a server, application state data from an electronic device. For instance, the application state data may represent an application state of a computer application running at the electronic device when a backup event occurs. An analysis may be performed based on at least one of a user profile or a usage pattern. A set of electronic devices may be identified based on the analysis. Further, the application state data may be transmitted to the set of electronic devices.

Abstract: A high efficiency belt having reduced bending stiffness while maintaining a high coefficient of friction. The belt includes a backing layer, a rib material layer, and cords embedded within, wherein the coefficient of friction of the high efficiency belt is greater than or equal to 0.03 mm/N times the bending stiffness for belts having a thickness in the range of from 2.6 mm to 4.2 mm. The belt can include a bending stiffness in the range of from about 30 N/mm to about 65 N/mm and an anisotropic modulus of elasticity ratio of between 1.1 and 5.0. Methods of manufacturing the high efficiency belt are also described and can include forming sheets of rib material with parallel aligned reinforcement fibers transverse to the direction of rotation of the high efficiency belt.

Abstract: Some examples include optimizing system performance by generating a version vector that includes a plurality of attributes associated with a computing device. For instance, the plurality of attributes associated with the computing device may include a device type of the computing device. The plurality of attributes from the version vector may be analyzed to determine a usage pattern of a user of the computing device. In addition, a configuration of the computing device may be adjusted based on the usage pattern. In some cases, adjusting of the configuration of the computing device may include adjusting, based on the usage pattern, one or more of a power consumption of the computing device or a CPU running time of the computing device.

Abstract: Some examples include performing a priority synchronization of a computing device to download a selected set of data files to the computing device from a distributed backup system. Data files are downloaded to a computing device by synchronizing with a server of the distributed backup system. A priority sync downloads a subset of the data files as priority files, rather than all of the data files of the user, thereby minimizing the computing resources consumed to download the data files. The priority sync can select the priority files based on various criteria, including an access pattern of the data files, attributes of the data files, or attributes of the computing device. The priority sync may also download non-priority files. The priority files may be downloaded in their original format and the non-priority files may be downloaded in a downgraded format.

Abstract: Some examples include backing up and retrieving data in a distributed backup system. For instance, a server may receive a request to backup multiple data files of a user to multiple computing devices associated with the user. Each of the multiple computing devices may be associated with one or more data backup policies for storing a set of data files. The server may identify, for each of the data files, the one or more data backup policies with which the corresponding data file matches and a corresponding set of the multiple computing devices associated with the one or more of the data backup policies. Further, the server may transmit each of the data files to the corresponding set of computing devices.

Abstract: Various embodiments generally relate to decentralized operating systems spanning multiple devices. More specifically, some embodiments relate to continuous and concurrent device experiences across the multiple devices. For example, a user may be streaming a movie through a service provided via a smart television. When the user's phone detects an incoming video call, the television can recognize that a video call is coming in and ask the user if the user wants to answer the call. If the user responds in the affirmative, the television can pause the streaming video from the service provide allowing the user to answer their phone. In some cases, the television can be used as the display screen to display the video call while the local phone resources (e.g., video camera) can be used as the recording device.

Abstract: Some examples include one or more processors that optimize the storage capacity of a computing device of a user. For instance, the one or more processors may receive, from the computing device, an indication of a request to download a data file. In addition, the one or more processors may determine a device classification associated with the computing device and a user access pattern associated with the data file. Further, the one or more processors may perform a downsampling of the data file based on the device classification and the user access pattern in response to the request, and may transmit the downsampled data file to the computing device.