Abstract: Systems, methods, and apparatuses disclosed herein can evaluate collections of operational information received from one or more subscriber devices to determine one or more Quality of Experience (QoE) scores for the one or more subscriber devices and/or one or more subscriber premises that are associated with the one or more subscriber devices. Generally, the one or more QoE scores can represent one or more numerically quantitative measures relating to the facilitation of a service by a service provider system. In some embodiments, the one or more QoE scores can represent one or more numerically quantitative measures relating to the experience of one or more subscribers that are associated with the one or more subscriber devices. In these embodiments, the one or more QoE scores can represent numerically quantitative measures of the subjective experience, for example, satisfaction or unsatisfaction, of the one or more subscribers with the service.

Abstract: A system and method are disclosed associated with a multi-tenant cloud computing environment. The system may receive information about a serverless function workload (e.g., a NodeJS, Java function or ABAP workload) to be launched in the cloud computing environment. A tenant associated with the serverless function workload to be launched may be identified and, based at least in part on the identified tenant, an objective function (e.g., throughput, latency, cost, etc.) for the serverless function workload to be launched may be identified. A recommendation service platform may then iteratively configure tuning parameters of the cloud computing environment using Bayesian optimization (e.g., to reach a global optimum using a Gaussian process) and the determined objective function. The system may then arrange for the serverless function workload to be executed in the cloud computing environment in accordance with the configured tuning parameters.

Abstract: A method of WDR imaging. Exposure times (ETs) are set for first and second frames for an image sensor to avoid second frame saturating by setting a second ET>1/a PWM frequency applied to an LED illuminating a scene to generate second longer ET pixel data (PD). The first frame has first PD and a first ET<the second ET. A high and low intensity threshold are calculated from a full well capacity. Raw image signals are obtained originating from the image sensor of the scene. Flicker is detected by comparing the first and second frame intensity values to the high and low threshold to determine whether the first PD is flickering data. A WDR merge is performed by selecting weightings from the first and second PD for each pixel including increasing weighting of the second PD for flicker. A final image is formed from the weighted WDR merge.

Abstract: One embodiment is a system comprising an engine including a dedicated EGR cylinder configured to provide EGR to the engine via an EGR loop, a non-dedicated cylinder, a plurality of injectors structured to inject fuel into the dedicated EGR cylinder and the non-dedicated EGR cylinder, and an electronic control system operatively coupled with the fueling system and the ignition system. The electronic control system is configured to evaluate engine operating parameters including an engine load and an engine speed. The electronic control system is responsive to variation of the engine operating parameters to control operation of the fueling system to vary combustion in the at least one dedicated cylinder between rich of stoichiometric and stoichiometric.

Abstract: The present disclosure relates generally to techniques for processing asynchronous queries across multiple data cores including secondary data cores stored in the secondary storage system in a distributed computing system. Secondary data cores are recovered in the data plane from secondary storage in order to be accessible for searching. Using this technique, asynchronous queries are run in parallel allowing the client to dynamically manage the queries and receive notifications when results are available.

Abstract: A method for managing memory leaks in a memory device includes grouping, by a garbage collection system, a plurality of similar memory allocations of the memory device into one or more Unique Fixed Identifiers (UFIs); identifying, by the garbage collection system, one of the one or more UFIs having a highest accumulated memory size and adding each of the plurality of memory allocations in the identified one of the one or more UFIs into a Potential Leak Candidate List (PLCL); identifying, by the garbage collection system, the memory leaks in the memory device by identifying unreferenced memory addresses associated with the plurality of memory allocations in the PLCL; and releasing, by the garbage collection system, the identified unreferenced memory addresses associated with the plurality of memory allocations corresponding to the memory leaks into the memory device.

Abstract: A method for ascertaining the state of charge of an electrical energy storage unit is described. In one example, the method includes ascertaining a voltage gradient at least based on a detected first voltage value of the electrical energy storage unit; comparing the ascertained voltage gradient with a predefined voltage gradient threshold value; and ascertaining the state of charge of the electrical energy storage unit depending on the comparison. A corresponding computer program, a corresponding machine-readable storage medium, a corresponding apparatus and a corresponding electrical energy storage system are also described.

Abstract: Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used to in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior.

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: Various embodiments include a camera voice coil motor (VCM) actuator configured to shift an image sensor along multiple axes. Some embodiments include a magnet and coil arrangement. Some embodiments include a position sensing arrangement. Some embodiments include a flexure arrangement. Some embodiments include a coil structure and coil carrier assembly.

Abstract: Some embodiments may be associated with a cloud computing environment. A computer processor of a data analysis server may receive a stream of big data associated with the cloud computing environment. The data analysis server may then create a probabilistic data structure (e.g., a sketch) representing the received stream of big data and store the created probabilistic data structure into the probabilistic data structure repository. A request for data analytics is then received from a remote client browser. Responsive to the received request, the data analysis server may retrieve the probabilistic data structure from the probabilistic data structure repository and push a WebAssembly (“Wasm”) module and the retrieved probabilistic data structure to the client browser. According to some embodiments, the data analysis server may then receive new updates to the stream of big data and send delta changes to the client browser via a WebSocket protocol.

Abstract: In one aspect, an example method includes (i) determining, by a playback device, a first loudness level of a first portion of first media content from a first source while the playback device presents the first media content, with the first portion having a first length; (ii) switching, by the playback device, from presenting the first media content from the first source to presenting second media content from a second source; (iii) based on the switching, determining, by the playback device, second loudness levels of second portions of the first media content while the playback device presents the second media content, with the second portions having a second length that is shorter than the first length; and (iv) while the playback device presents the second media content, adjusting, by the playback device, a volume of the playback device based on one or more of the second loudness levels.

Abstract: Embodiments relate to methods of forming a halide perovskite crystal. The method involves dispersing a halide perovskite material exhibiting a perovskite crystallographic lattice into a solution. The solution can include amine and a volatile solvent. The method involves forming a metastable intermediate state via amine molecules inserting into the perovskite crystallographic lattice. The method involves transitioning the perovskite material to a photo-sensitive phase via escape of the amine molecules from the perovskite crystallographic lattice. The method involves transitioning the metastable intermediate state to a halide perovskite crystal film.

Abstract: The disclosure provides for use of steganographically-encoded data as a basis to disambiguated a fingerprint-based channel-multimatch. A fingerprint-matching server or other entity could detect a channel-multi-match scenario by determining that query fingerprints representing media content being rendered by a content presentation device match reference fingerprints respectively representing multiple channels. In view of that detected channel-multi-match scenario, the content presentation device could then provide channel-identification information that the content presentation device extracts from a watermark that is steganographically encoded in the media content of the channel that the content presentation device is rendering, for use of the extracted channel-identification information to determine which channel the content presentation device is rendering.

Abstract: A system includes a non-transitory computer-readable storage medium. The non-transitory computer-readable storage medium has instructions stored thereon that, upon execution by a processor of a portable user device, cause the processor to acquire data from a reader of the portable user device regarding an identifier on a machine, perform a verification process to verify that a user of the portable user device has access to the machine based on the identifier, wirelessly connect the portable user device to the machine in response to the user being verified to access the machine, display a control interface for the machine on a user interface of the portable user device, receive a user input through the control interface regarding operation of a controllable component of the machine, and provide a command to the machine based on the user input to facilitate remote operation of the controllable component of the machine.

Abstract: Disclosed is a method that includes a media presentation device (i) generating query fingerprint data representing video frames of a channel being rendered by the media presentation device, and transmitting the generated query fingerprint data from the device over a network to a server, (ii) responsive to transmitting the query fingerprint data to the server, receiving, from the server, channel-icon fingerprint data representing channel icons of multiple channels selected based at least on the server having detected that the query fingerprint data representing the video frames of the channel being rendered by the media presentation device matches the reference fingerprint data representing the frames of the multiple channels of video content, and (iii) responsive to receiving the channel-icon fingerprint data from the server, performing channel-icon fingerprint matching to determine which channel in the multiple channels is the channel being rendered by the media presentation device.

Abstract: A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations. The operations may include extracting a first multiple dimensional dataset and a second multiple dimensional dataset and encoding the first multiple dimensional dataset into a first encoded dataset and the second multiple dimensional dataset into a second encoded dataset. The operations may include combining the first encoded dataset and the second encoded dataset into a combined encoded dataset and conveying the combined encoded dataset to a user.

Abstract: A camera includes a camera focus adjustment device, a lens, and an image sensor coupled to the camera focus adjustment device. The camera focus adjustment device includes a flexure structure. The flexure structure includes an outer framework of structural members continuously interconnected by flexure notch hinges. The flexure structure also includes two inner structural members oriented in parallel and extending from the outer framework of structural members. A gap is between the two inner structural members. The camera focus adjustment device also includes a piezoelectric material within the gap and a pair of wedges within the gap. The pair of wedges is affixed to the piezoelectric material and to one inner structural member of the two inner structural members. Based on temperature-based piezoelectric activity associated with the piezoelectric material, the camera focus adjustment device is operable to move the image sensor relative to the lens.

Abstract: Methods, systems, and computer program products for automatically detecting periods of normal activity by analyzing observability data in IT operations environments are provided herein. A computer-implemented method includes obtaining multiple types of data related to one or more artificial intelligence-related information technology operations; modelling at least a portion of the obtained data as time series data; automatically identifying, from the time series data, one or more time periods associated with one or more given levels of data activity; and performing one or more automated actions, in at least one artificial intelligence-related information technology operations environment, based at least in part on the data corresponding to the one or more identified time periods.

Abstract: An apparatus includes a lens assembly that includes at least one lens that defines an optical axis. The apparatus also includes a substrate, an image sensor disposed on the substrate, and an actuator coupled to the substrate and configured to adjust a position of the substrate relative to the lens assembly to move the image sensor along the optical axis. The apparatus additionally includes a capacitive position sensor that includes a first capacitive plate coupled to the substrate and a second capacitive plate coupled to the lens assembly. The capacitive position sensor may be configured to generate a capacitance measurement indicative of the position of the substrate relative to the lens assembly. The apparatus further includes circuitry configured to control the actuator based on (i) the capacitance measurement and (ii) a target position of the image sensor relative to the lens assembly.