Abstract: In implementations of systems for efficient rendering of clipping objects, a computing device implements a clipping system to generate a clipping tree that includes a root node and a node for each clipping group included in a layer of an input render tree. The clipping system generates a segment buffer having rows that each represent coverage of a branch of the clipping tree and columns that each represent coverage of a level of the clipping tree. The segment buffer is mapped to two-dimensional array, and the clipping system computes coverage for a clipping object of a clipping group included in the layer of the input render tree based on an identifier of a row of the two-dimensional array.

Abstract: The present disclosure relates to wastewater management that provides a method and a system for monitoring a sewer manhole from a remote location. The sewer monitoring system configured in a sewer manhole receives measured values from a level sensor and determines an accuracy error in the measured values for different conditions. The sewer monitoring system resolves the accuracy error in the measured values to obtain accurate measured values by either measuring a level of wastewater in the sewer manhole by setting a first range limit for the measured values dynamically based on an actual depth of the sewer manhole, or iteratively measuring the level of wastewater in the sewer manhole by setting unique a second range limit for the measured values dynamically. A risk associated with the sewer manhole based on the accurate measured values of the level sensor is determined, for monitoring the sewer manhole from a remote location.

Abstract: Detecting anomalous behavior of a device, including: generating, using information describing historical activity associated with a user device, a trained model for detecting normal activity for the user device; gathering information describing current activity associated with the user device; and determining, by using the information describing current activity associated with the user device as input to the trained model, whether the user device has deviated from normal activity.

Abstract: Techniques are provided for updating, managing, and maintaining a reference template for web service API testing. A plurality of logs, corresponding to a target application that provides one or more web services, may be captured. The captured logs may be filtered using information (e.g., URL extension) in the captured logs. Each filtered log may be parameterized and API request payload data may be extracted to generate a baseline template. A reference template may be compared with a corresponding baseline template to determine if they differ. If they differ, a test template may be generated by replacing each differing field of the reference template with a corresponding baseline template identifier. The test template may then be used in testing a web service API, such that a test template can conform with a changing web service API.

Abstract: Elastic privileges in a secure access service edge, including: identifying, based on one or more access policies, an application accessible to a user; determining, for the user, an access pattern of the application; and restricting, without modifying the one or more access policies, access to the application by the user based on the access pattern.

Abstract: A method and apparatus for processing color data includes storing fragment pointer and color data together in a color buffer. A delta color compression (DCC) key indicating the color data to fetch for processing is stored, and the fragment pointer and color data is fetched based upon the read DCC key for decompression.

Abstract: Systems, methods, and other embodiments for supporting high availability by using in-memory cache as a database are disclosed. In one embodiment, a system includes an application server that is configured to select a sub-set of data from a remote database that is predicted to be accessed by an application server, wherein the application server includes an in-memory cache. The sub-set of data is reformatted to reduce the size. The in-memory cache is configured to act as a backup database by pre-populating the reformatted sub-set of data into the in-memory cache. In response to detecting the remote database is in an off-line state: the in-memory cache is assigned as a primary database to replace the remote database and subsequent data requests are re-directed from being processed using the remote database to being processed using the in-memory cache.

Abstract: A logical graph is generated using at least a portion of log data received from a set of agents executing on one or more nodes in one or more data centers. The logical graph is augmented using data obtained from one or more agents executing in containerized environments, including by representing communications between pods within the logical graph. The augmented logical graph is used to detect an anomaly.

Abstract: Detecting anomalous behavior using a browser extension, including: gathering first information describing activity associated with a user and generated by a browser extension on a user device; gathering second information describing activity associated with the user and generated by an application executed on the user device; and determining, based on the first information and the second information, whether the user has deviated from normal activity.

Abstract: In implementations of context-based copy-paste systems, a computing device implements a context system to receive input data describing a selection of a vector object. The context system detects vicinity vector objects based on a bounding box of the vector object and bounding boxes of the vicinity vector objects. A transformation is identified based on similarities between the vicinity vector objects and target vector objects. The context system generates a modified vector object for display in a user interface by transforming the vector object using the transformation and reproducing the transformed vector object relative to a particular target vector object of the target vector objects.

Abstract: The present invention relates to compositions comprising clofazimine and methods for treating cancer. In various embodiments, the compositions and methods further comprise a proteasome inhibitor and/or immunomodulatory drug. The compositions and methods of the present invention may be used for naïve cancers as well as those that have developed resistance to proteasome inhibitors and/or immunomodulatory drugs.

Abstract: In implementations of systems for visual reordering of partial vector objects, a computing device implements an order system to receive input data describing a region specified relative to a group of vector objects that includes a portion of a first vector object and a portion of second vector object. A visual order as between the portion of the first vector object and the portion of the second vector object within the region is determined. The order system computes a modified visual order as between the portion of the first vector object and the portion of the second vector object within the region based on the visual order. The order system generates the group of vector objects for display in a user interface using a render surface and a sentinel value to render pixels within the region in the modified visual order.

Abstract: Systems and methods for video representation learning using triplet training are provided. The system receives a video file and extracts features associated with the video file such as video features, audio features, and valence-arousal-dominance (VAD) features. The system processes the video features, audio features, and VAD features using a hierarchical attention network to generate a video embedding, an audio embedding, and a VAD embedding, respectively. The system concatenates the video embedding, the audio embedding and VAD embedding to create a concatenated embedding. The system processes the concatenated embedding using a non-local attention network to generate a fingerprint associated with the video file. The system then processes the fingerprint generate one or more of a mood prediction, a genre prediction, and a keyword prediction.

Abstract: Embodiments are disclosed for identifying and generating symmetrical repeat edits to similar objects in an image. A selection of a first object and an edit to the first object in an image is received. The image is searched for a plurality of candidate objects that have a similar shape to the first object and the plurality of candidate objects are filtered to include one or more objects that are symmetrical with the first object. A symmetric object is selected from the plurality of candidate objects. An axis of symmetry is computed between the symmetric object and the first object. The edit is applied to the symmetric object and to the first object.

Abstract: Generating user-specific polygraphs for network activity, including: gathering information describing network activity associated with a user and generating, based on the information, a user-specific polygraph that includes one or more destinations associated with the network activity.

Abstract: Detecting deviations from typical user behavior, including: identifying a geographic location of a device that is associated with a user; determining device activity associated with the user; and detecting, based on a profile associated with the user, that the device activity associated with the user deviates from normal activity for the user.

Abstract: Embodiments of the present disclosure are related a method for wireless communication. The method comprises receiving by a base station (BS), signals from a plurality of user equipment's (UEs) and obtaining channel estimates associated with each UE using the received signals. Next, calculating a first metric for each UE, and each of the plurality of beams associated with the BS using the obtained channel estimates and determining one or more best beams from a plurality of beams associated with the BS, and a second metric for each UE using the first metric. Further, segregating the UEs into groups based on the determined one or more best beams and the second metric. Thereafter, performing beamforming on control channel based on the one or more best beams, and performing allocation of at least one of resources, modulation and coding scheme for a control channel based on the segregated groups.

Abstract: Detecting anomalous behavior of a device, including: generating, using information describing historical activity associated with a user device, a trained model for detecting normal activity for the user device; gathering information describing current activity associated with the user device; and determining, by using the information describing current activity associated with the user device as input to the trained model, whether the user device has deviated from normal activity.

Abstract: In implementations of systems for efficiently generating blend objects, a computing device implements a blending system to assign unique shape identifiers to objects included in an input render tree. The blending system generates a shape mask based on the unique shape identifiers. A color of a pixel of a blend object is computed based on particular objects of the objects that contribute to the blend object using the shape mask. The blending system generates the blend object for display in a user interface based on the color of the pixel.

Abstract: Described herein are systems and methods for supporting multicast for virtual networks. In some embodiments, a native multicast approach can utilized in which packet replication is performed on a host node of a virtual machine (VM) with a multicast data packet encapsulated in uniquely address unicast packets. In some embodiments, a network virtual appliance can be utilized. A multicast packet sent from the VM can be unicasted to the network virtual appliance. The multicast appliance can then replicate the packet into multiple copies and send the packets to the receivers in the virtual network as unicast data packets encapsulating the multicast packet.