Abstract: Certain aspects of the present disclosure generally relate to an apparatus with a virtual keyboard being configured to compensate, or at least adjust, for motion of the apparatus during receipt of a swipe gesture. Other aspects of the present disclosure generally relate to a method for receiving data in an apparatus with a touchscreen. An exemplary data reception method generally comprises receiving a swipe gesture input sequence on a virtual keyboard of the touchscreen, wherein the apparatus with the touchscreen is undergoing motion during at least part of the swipe gesture input sequence; sensing at least one parameter indicative of the motion using at least one inertial sensor; and determining a character sequence based on the swipe gesture input sequence and the at least one parameter indicative of the motion.

Abstract: An apparatus, related devices and methods, having a memory element operable to store instructions; and a processor operable to execute the instructions, such that the apparatus is configured to identify sensitive user data stored in the memory by a first application, determine a risk exposure score for the sensitive user data, apply, based on a determination that the risk exposure score is above a threshold, a security policy to restrict access to the sensitive user data, receive a request from a second application to access the sensitive user data, determine whether the first application and the second application are similar applications, and allow access based on a determination that the first application and the second application are similar applications.

Abstract: In one aspect, an example method includes (i) determining, by a playback device, a loudness level of first media content that the playback device is receiving from a first source; (ii) comparing, by the playback device, the determined loudness level of the first media content with a reference loudness level indicated by a loudness level profile for the first media content; (iii) determining, by the playback device, a target volume level for the playback device based on a difference between the determined loudness level of the first media content and the reference loudness level; and (iv) while the playback device presents second media content from a second source in place of the first media content, adjusting, by the playback device, a volume of the playback device toward the target volume level.

Abstract: Disclosed herein are improved methods for the manufacture of arginine-based dentifrice compositions comprising the use of a solution of arginine free base (e.g., L-arginine) in concentrated aqueous sorbitol solution.

Abstract: A mobile device responds in real time to media content presented on a media device, such as a television. The mobile device captures temporal fragments of audio-video content on its microphone, camera, or both and generates corresponding audio-video query fingerprints. The query fingerprints are transmitted to a search server located remotely or used with a search function on the mobile device for content search and identification. Audio features are extracted and audio signal global onset detection is used for input audio frame alignment. Additional audio feature signatures are generated from local audio frame onsets, audio frame frequency domain entropy, and maximum change in the spectral coefficients. Video frames are analyzed to find a television screen in the frames, and a detected active television quadrilateral is used to generate video fingerprints to be combined with audio fingerprints for more reliable content identification.

Abstract: Techniques including obtaining a first location of a vehicle, the vehicle having one or more cameras disposed about the vehicle, and wherein each camera is associated with a physical camera pose indicating where each camera is located with respect to the vehicle, capturing, by a first camera, a first image of a first area, associating the first image with the first location of the vehicle when the first image was captured, moving the vehicle in a direction so that the first area is no longer within a field of view of the first camera, obtaining a second location of the vehicle, determining a temporal camera pose based on the physical camera pose of the first camera and the second location of the vehicle, and rendering a view of the first area based on the temporal camera pose and the first image.

Abstract: One or more methods and/or techniques for content resource allocation are provided herein. A user, of a client device, may access content. Real time user traffic associated with accessing the content may be determined. A trend may be identified from the real time user traffic for the content. The real time user traffic may be indicative of an amount of the content distribution resources used to provide a threshold level of service to users. Responsive to the trend indicating a projected increase in real time user traffic for the content, the content distribution resources may be allocated to the content based upon the projected increase, such that the allocated content distribution resources provide the threshold level of service to the user.

Abstract: Novel cannabinoid ligands represented by the general formulas I, II, and III and methods for preparation and use within which one or more of a fluorescent ligand, nitroxide spin label, metal chelate, biotin moiety, or group with enhanced polarity may be incorporated. The compounds can bind to and modulate the cannabinoid CB1 and CB2 receptors and thereby considered specific ligands for these receptors. Some of the disclosed compounds that bind to cannabinoid CB1 and CB2 receptors can exhibit tight or irreversible binding characteristics for these receptors. Due to the presence of the imaging/diagnostic and/or therapeutic functional groups including fluorescent groups, nitroxide spin labels, metal chelates, biotin moieties, and groups with enhanced polarity, the disclosed compounds may be useful as imaging/diagnostic tools and/or therapeutic agents.

Abstract: One embodiment provides a method for federated learning across a plurality of data parties, comprising assigning each data party with a corresponding namespace in an object store, assigning a shared namespace in the object store, and triggering a round of federated learning by issuing a customized learning request to at least one data party. Each customized learning request issued to a data party triggers the data party to locally train a model based on training data owned by the data party and model parameters stored in the shared namespace, and upload a local model resulting from the local training to a corresponding namespace in the object store the data party is assigned with. The method further comprises retrieving, from the object store, local models uploaded to the object store during the round of federated learning, and aggregating the local models to obtain a shared model.

Abstract: The present disclosure includes systems, devices, and methods for a reactor, such as a sonication reactor, for destruction of Per- and polyfluoroalkyl substances (PFASs). In one aspect of the disclosure, the reactor includes a housing having a base and one or more walls that cooperate to define a chamber and a transducer disposed the chamber. The transducer is configured to generate a plurality of sound waves such that when PFAS solution is disposed within the chamber, the sound waves propagate through the liquid and at least some of the one or more PFAS compounds are pyrolyzed or otherwise degraded. Other aspects and features are also claimed and described.

Abstract: Audio distortion compensation methods to improve accuracy and efficiency of audio content identification are described. The method is also applicable to speech recognition. Methods to detect the interference from speakers and sources, and distortion to audio from environment and devices are discussed. Additional methods to detect distortion to the content after performing search and correlation are illustrated. The causes of actual distortion at each client are measured and registered and learnt to generate rules for determining likely distortion and interference sources. The learnt rules are applied at the client, and likely distortions that are detected are compensated or heavily distorted sections are ignored at audio level or signature and feature level based on compute resources available. Further methods to subtract the likely distortions in the query at both audio level and after processing at signature and feature level are described.

Abstract: In one aspect, a method includes identifying an upcoming content-modification opportunity on a channel, where the upcoming content-modification opportunity relates to a modifiable content-segment transmitted by a content-distribution system on the channel, and where the modifiable content-segment includes an overlay content portion and a non-overlay content portion. The method also includes responsive to identifying the upcoming content-modification opportunity on the channel, identifying a content-presentation device tuned to the channel. The method also includes determining location data associated with the overlay content portion.

Abstract: One embodiment provides a method, including: receiving, from a client, (i) a task of annotating information, (ii) a set of instructions for performing the task, and (iii) client annotations for a subset of the information within the task; assigning the subset to a plurality of annotators; obtaining (i) annotator annotations for the subset and (ii) a response time for providing the annotator annotation for each piece of information within the subset; identifying improvements to the set of instructions by (i) comparing the annotator annotations to the client annotations and (ii) identifying discrepancies made by the annotators in view of the response time; and generating a new set of instructions, wherein the generating comprises (i) identifying at least one feature of the information that distinguishes correctly annotated information from incorrectly annotated information and (ii) generating an instruction from the at least one feature.

Abstract: One embodiment provides a method, including: receiving a technical diagram comprising a plurality of nodes and edges, wherein each edge connects two of the plurality of nodes; extracting, from the technical diagram, entities represented within the technical diagram, wherein the entities are extracted from the nodes and edges; creating groupings of entities from the extracted entities by grouping entities into groups based upon a logical relationship between the entities within a given group; generating, from the groupings, a visual representation of the technical diagram, wherein the visual representation comprises the groupings being represented as text and arranged based upon contextual relationships between the groupings; and providing a natural language summary of the technical diagram, wherein the providing comprises converting the visual representation into natural language text.

Abstract: A transmission system for an electric vehicle. The system includes a gearbox containing gears and a lubricating fluid. A pump is provided for supplying and removing lubricating fluid from the gear box. The operation of the pump is controlled by a controller. A reservoir is provided for storing lubricating fluid. The controller is configured to control the pump so that a portion of the lubricating fluid is removed from the gear box when the vehicle is involved in a high acceleration event.

Abstract: A drive module for an electric vehicle having noise, vibration, and harshness counter measures. The drive module includes multiple covers and mass dampeners in order to detune vibration and noise from the cabin of the vehicle.

Abstract: A multi-dimensional database and indexes and operations on the multi-dimensional database are described which include video search applications or other similar sequence or structure searches. Traversal indexes utilize highly discriminative information about images and video sequences or about object shapes. Global and local signatures around keypoints are used for compact and robust retrieval and discriminative information content of images or video sequences of interest. For other objects or structures relevant signature of pattern or structure are used for traversal indexes. Traversal indexes are stored in leaf nodes along with distance measures and occurrence of similar images in the database. During a sequence query, correlation scores are calculated for single frame, for frame sequence, and video clips, or for other objects or structures.

Abstract: According to some embodiments, an integration system may include a source data store that contains a plurality of workloads (e.g., data packets). A processing platform may retrieve a workload from the source data store via first unikernel-based workload processing. The processing platform may then process the workload (e.g., filtering or dropping) to generate an output result and arrange for the output result to be provided to a sink destination via second unikernel-based workload processing (e.g., associated with a Linux event loop model of input output multiplexing). In some embodiments, the processing platform initially evaluates the workload in the source data store to determine if the workload meets a predetermined condition. If the workload does not meet the predetermined condition, the retrieving and arranging may be performed via container-based workload processing instead of unikernel-based workload processing.

Abstract: The overall architecture and details of a scalable video fingerprinting and identification system that is robust with respect to many classes of video distortions is described. In this system, a fingerprint for a piece of multimedia content is composed of a number of compact signatures, along with traversal hash signatures and associated metadata. Numerical descriptors are generated for features found in a multimedia clip, signatures are generated from these descriptors, and a reference signature database is constructed from these signatures. Query signatures are also generated for a query multimedia clip. These query signatures are searched against the reference database using a fast similarity search procedure, to produce a candidate list of matching signatures. This candidate list is further analyzed to find the most likely reference matches. Signature correlation is performed between the likely reference matches and the query clip to improve detection accuracy.

Abstract: The disclosure provides methods, systems, and computer program products for detecting compounds of interest that are deposited on or associated with objects of interest. The compounds of interest are not limited and include drugs, alcohol, cannabis, narcotics, controlled substances as defined by state, federal, or international law, ammonium-based explosives, MGE-based explosives, toxic compounds, organic compounds, inorganic compounds, nerve agents, or biological compounds. The disclosure increases the speed and efficiency of processing hyperspectral images, especially on low-power or portable devices.