Abstract: The invention relates to a method for preparing high-stability liquid blueberry anthocyanins, belonging to the field of food processing. A method for preparing high-stability liquid blueberry anthocyanins comprises the following process steps: adding graphene oxide and chitosan to an MES buffer solution at room temperature, mixing homogeneously and adding EDC and NHS sequentially, reacting to obtain a first solution; adding dry blueberry anthocyanin powder in the first solution, adjusting pH to 4.5 to 5.0 and mixing homogeneously to obtain a second solution, and treating the second solution at 350 to 420 MPa and 2 to 4° C. to obtain the product. The method for increasing the stability of blueberry anthocyanins provided by the present invention uses dry blueberry anthocyanin powder as a raw material and adds graphene oxide combined with chitosan compound as an anthocyanin stabilizer, thereby increasing the stability of blueberry anthocyanins during processing and production.

Abstract: A computing system includes a virtual server to provide a remote desktop session that includes at least one remote app configured to generate notification sounds, and a client computing device to provide a local desktop session that includes at least one local app configured to generate notification sounds. The client computing device accesses the remote desktop session and launches one of the remote apps, and launches one of the local apps. The launched local app is the same as the launched remote app. The local and remote desktop sessions include respective local and remote sound controllers to intercept notification sounds generated by the local and remote apps. The local and remote sound controllers operate based on predetermined muting criteria so that one of the notification sounds is muted to avoid duplicated app notification sounds.

Abstract: A method for learning model based attribute impact analysis may include training a learning model to recognize a nexus between a name of a file and an attribute impacted by the file. The trained learning model may be applied to identify at least one attribute impacted by a file update including one or more files. A review may be performed of the at least one attribute impacted by the file update. Related systems and computer program products are also provided.

Abstract: Methods and systems for management of subscriber identities associated with user devices are described herein. The user device may enroll the user device to a server and lock a subscriber identity associated with the device by setting a password on the subscriber identity. If a credential entered by a user is verified, the subscriber identity associated with the device may be unlocked. Alternatively, the user device may retrieve one or more identities associated with the user, the user device and/or the subscriber identity. A server may register the one or more identities with a database. If the user device sends a request to connect to the network, the server may verify the one or more identities retrieved by the user device to determine whether to grant access from the user device to the network.

Abstract: Aspects include a computing device, method and computer readable medium for controlling a magnifier in a virtual desktop session. A disclosed computing device includes: a memory storing instructions for controlling a magnifier in a virtual desktop session; and a processor coupled to the memory and configured to execute the instructions to perform processes including: initiating the magnifier in the virtual desktop session to magnify a portion of content displayed on a client device; and in response to detecting a change in at least one of an orientation of the client device or a distance between the client device and a user: adjusting a magnification level of the magnifier on the portion of the content or shifting the magnifier to magnify a distinct portion of the content displayed on the client device.

Abstract: A method includes receiving selection of a target within an image captured by an image sensor of a payload and displayed on a user interface of the payload, detecting a deviation of the target from an expected target state within the image, generating, based at least partly on the deviation, a payload control signal including a first angular velocity for rotating the payload about an axis of the carrier to reduce the deviation about the axis in a subsequent image, and generating a base support control signal including a second angular velocity for rotating the payload with respect to the axis. When the first and second angular velocities are received, the carrier is controlled to rotate the payload at a third angular velocity about the axis. The third angular velocity is the first angular velocity, the second angular velocity, or a combination of both.

Abstract: A method for tracking a target includes identifying a target from an image captured by an imaging device based on target type information. The imaging device is carried by an unmanned aerial vehicle (UAV) via a carrier. The method further includes detecting a deviation of the target from a predetermined characteristic and adjusting at least one of the UAV or the carrier to reduce the deviation.

Abstract: A method includes receiving selection of a target within an image captured by an image sensor of a payload and displayed on a user interface of the payload, detecting a deviation of the target from an expected target state within the image, generating, based at least partly on the deviation, a payload control signal including a first angular velocity for rotating the payload about an axis of the carrier to reduce the deviation about the axis in a subsequent image, and generating a base support control signal including a second angular velocity for rotating the payload with respect to the axis. When the first and second angular velocities are received, the carrier is controlled to rotate the payload at a third angular velocity about the axis. The third angular velocity is the first angular velocity, the second angular velocity, or a combination of both.

Abstract: The present invention provides methods and systems of tracking a target with an imaging device onboard an unmanned aerial vehicle. The method may comprise identifying one or more targets in a first image captured by the imaging device, receiving a user selection of a target to be tracked from the one or more targets in the one or more images, generating target information for the target to be tracked based on the user selection of the target, detecting a deviation of a detected position and/or a detected size of the target in a second image captured by the imaging device from the selected position and/or the selected size of the target in the first image and adjusting at least one of the UAV and the carrier, to reduce the determined deviation to maintain the target substantially within the field of view of the image device, based on the deviation.

Abstract: Techniques are disclosed for providing privacy protection for video conference screen sharing. An example methodology implementing the techniques includes receiving a video stream of a first participant in a video conference session between at least the first participant and a second participant, wherein the first participant is associated with a first conference client device and the second participant is associated with a second conference client device, and determining that the first participant is performing screen sharing. The method also includes identifying a first item of content in the video stream to shield from being viewable during rendering of the video stream, obfuscating the identified first item of content in the video stream, and providing the video stream showing the obfuscated first item of content to the second conference client device to be rendered for display on a display device of the second conference client device.

Abstract: A system and method that automatically saves a message sender's contact information in the local contacts of a message receiver. A described method includes receiving, at a second email client installed on a user device, a message from a first email client via an email server and analyzing the message at the second email client to determine whether the message triggers an automated contact save. In in response to determining that the message triggers the automated contact save and the message includes a requisite contact information of the sender, saving the requisite contact information in a set of local contacts on the user device. In response to determining that the message triggers the automated contact save and the message does not include the requisite contact information of the sender, retrieving the requisite contact information of the sender from an identity server and saving the requisite contact information in the set of local contacts on the user device.

Abstract: Methods and systems for determining text for translation are described herein. A client device may receive a content item containing text and a user may need to have only some of the text translated. The client device may cause subsets of the text to be translated. The client device may use translation data that may indicate which subsets of text within a content item should be translated and one or more target languages to translate the text into. The translation data may contain user preferences indicating which text portions a particular user desires to be translated. The translation data may be created and modified using machine learning. A machine learning model may learn which text portions should be translated based on what users have requested to be translated in the past and may determine which text portions of a content item should be translated.

Abstract: A method includes one or more processors of a payload releasably coupled to a carrier detecting a deviation of a target from an expected target position within an image captured by an image sensor of the payload, and generating one or more control signals for the carrier based at least in part on the detected deviation of the target. The one or more control signals cause the carrier to change a pose of the payload so as to reduce the detected deviation in a subsequent image captured by the image sensor.

Abstract: The present invention provides systems, methods, and devices related to target tracking by UAVs. The UAV may be configured to receive target information from a control terminal related to a target to be tracked by an imaging device coupled to the UAV. The target information may be used by the UAV to automatically track the target so as to maintain predetermined position and/or size of the target within one or more images captured by the imaging device. The control terminal may be configured to display images from the imaging device as well as allowing user input related to the target information.

Abstract: Methods and systems for management of subscriber identities associated with user devices are described herein. The user device may enroll the user device to a server and lock a subscriber identity associated with the device by setting a password on the subscriber identity. If a credential entered by a user is verified, the subscriber identity associated with the device may be unlocked. Alternatively, the user device may retrieve one or more identities associated with the user, the user device and/or the subscriber identity. A server may register the one or more identities with a database. If the user device sends a request to connect to the network, the server may verify the one or more identities retrieved by the user device to determine whether to grant access from the user device to the network.

Abstract: The present invention provides methods and systems of tracking a target with an imaging device onboard an unmanned aerial vehicle. The method may comprise identifying one or more targets in a first image captured by the imaging device, receiving a user selection of a target to be tracked from the one or more targets in the one or more images, generating target information for the target to be tracked based on the user selection of the target, detecting a deviation of a detected position and/or a detected size of the target in a second image captured by the imaging device from the selected position and/or the selected size of the target in the first image and adjusting at least one of the UAV and the carrier, to reduce the determined deviation to maintain the target substantially within the field of view of the image device, based on the deviation.

Abstract: A method for image processing includes a graphics processing unit (GPU) of a mobile device obtaining source image data generated by an image sensor of the mobile device and having a source image size and a source color format, the GPU resampling the source image data to generate resampled image data having a target image size suitable to be processed by a central processing unit (CPU) of the mobile device to conduct a target process, and the GPU or the CPU reformatting the resampled image data to generate target image data having a target color format suitable to be processed by the CPU to conduct the target process. The reformatting includes removing at least one color channel for one or more pixels of the resampled image data.

Abstract: A method, system, article of manufacture, and UAV configured to identify a target object shown in an image, such as shown in a perspective view that is a two-dimensional image or frame of video. The method comprises: identifying and track the position of a target object shown in a sequence of images or video, even when the target object may be traveling at high speeds, detecting the target object within an image based on one or more of the object's physical characteristics, such as its color, shape, size, chrominance, luminance, brightness, lightness, darkness, and/or other characteristics. Thus, in this context a target object may be anything having one or more detectable physical characteristics. The method also providing an improved and more intuitive user interface that enables a user to select a target object for tracking. As a result, the method and system improve the accuracy, usability, and robustness of the system.

Abstract: Methods, apparatus, and computer-readable media for providing a content protection service in electronic messaging systems are described herein. The content protection service may be engaged by an electronic messaging sending device by receiving a protection action. Or it may be engaged by an electronic messaging server by checking a protection policy. The content protection service may be engaged to alias, and/or conceal an original content item. When aliasing, a modified electronic message content comprises aliased content and omits the original content. When concealing, a modified electronic message content comprises a concealment and omits the original content. When aliasing and concealing, a modified electronic message content comprises a concealment and omits both the aliased and original contents.

Abstract: Methods and systems for management of subscriber identities associated with user devices are described herein. The user device may enroll the user device to a server and lock a subscriber identity associated with the device by setting a password on the subscriber identity. If a credential entered by a user is verified, the subscriber identity associated with the device may be unlocked. Alternatively, the user device may retrieve one or more identities associated with the user, the user device and/or the subscriber identity. A server may register the one or more identities with a database. If the user device sends a request to connect to the network, the server may verify the one or more identities retrieved by the user device to determine whether to grant access from the user device to the network.