Abstract: Methods, systems, and devices for imprint recovery management for memory systems are described. In some cases, memory cells may become imprinted, which may refer to conditions where a cell becomes predisposed toward storing one logic state over another, resistant to being written to a different logic state, or both. Imprinted memory cells may be recovered using a recovery or repair process that may be initiated according to various conditions, detections, or inferences. In some examples, a system may be configured to perform imprint recovery operations that are scaled or selected according to a characterized severity of imprint, an operational mode, environmental conditions, and other factors. Imprint management techniques may increase the robustness, accuracy, or efficiency with which a memory system, or components thereof, can operate in the presence of conditions associated with memory cell imprinting.

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 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. Following distance over time is determined, and simplified following distance data is generated for use at a management device.

Abstract: Methods, systems, and devices for imprint recovery for memory cells are described. In some cases, memory cells may become imprinted, which may refer to conditions where a cell becomes predisposed toward storing one logic state over another, resistant to being written to a different logic state, or both. Imprinted memory cells may be recovered using a recovery or repair process that may be initiated according to various conditions, detections, or inferences. In some examples, a system may be configured to perform imprint recovery operations that are scaled or selected according to a characterized severity of imprint, an operational mode, environmental conditions, and other factors. Imprint management techniques may increase the robustness, accuracy, or efficiency with which a memory system, or components thereof, can operate in the presence of conditions associated with memory cell imprinting.

Abstract: Techniques for image processing including receiving input image data, wherein the input image data includes data associated with a clear color channel, receiving a color offset value associated with a color channel, wherein color values for the color channel are not provided in the input image data, based on the color offset value, generating intermediate estimated color values for the color channel, wherein generating the intermediate estimated color values includes: clipping color values that have a magnitude greater than the color offset value, and adjusting color values that have a magnitude less than the color offset value based on the color offset value, applying a color correction function to the intermediate estimated color values based on the color offset value to determine color corrected estimated color values, and outputting the color corrected estimated color values.

Abstract: Provided herein are system, apparatus, article of manufacture, method and/or computer program product, and/or combinations and sub-combinations thereof, for utilizing a personalized content system to enhance an effectiveness of content being shown to the user via personalized content associated with the content. This method allows the platform to present the most relevant personalized in-channel content to the users, in a user interface, which then correspondingly helps drive user interest. This method scans content to identify objects of interest located within the content, generates a query based on the identified objects of interest and a user profile, searches content sources for related content, associates the related content with an occurrence of a corresponding identified object of interest within the content and communicates, to the user device, the content and the related content for instantiation through a user interface of the user device.

Abstract: A method for providing cyber security measures in a shared network estimates in a probabilistic model, a likelihood of a cybersecurity event occurring in a system. Based on the estimated likelihood selectively applies some but not all of the cyber security measures. Based constraints of system resources available for operations a combination discretionary security measures are selected for execution. During runtime of the system, security risk of an aspect of the system is periodically evaluated causing reconfiguration of the security measures for execution based on the estimated security risk and system resources available for operations. Timed automata corresponding to security threats are assigned a risk score associated with the security threat based on one or more states of the automata. An aggregation of multiple risk scores produces a trust score for the overall system. A number of security measures may be selected and allocated based on the trust score.

Abstract: There is disclosed computer-implemented system and method of providing a wireless access point (WAP), including dividing the WAP into at least two virtual networks, wherein a first virtual network is for devices that authenticate using a first authentication protocol and a second virtual network is for devices that authenticate using a second authentication protocol, wherein the second authentication protocol is more secure than the first authentication protocol; and onboarding devices to the WAP, and assigning the devices to the at least two virtual networks according to the authentication protocols they use to authenticate to the WAP.

Abstract: Systems, methods, devices, and apparatus are provided for device training at a determined quantization. For instance, a device can include a battery, a communication node, a sensor configured to collect user fitness data, and a processor coupled to the battery, the communication node, and the sensor. The processor can be configured to monitor a power state of the battery, determine a usage pattern of the electronic device and determine a quantization at which to train a machine learning model for analyzing the user fitness data based on the power state and the usage pattern. In addition, the processor can be configured to train the machine learning model at the determined quantization using the user fitness data and transmit the determined quantization and an update to the trained machine learning model via the communication node without transmitting the user fitness data.

Abstract: Customers at a premises attempting to connect a new wireless device, such as a mobile phone or tablet to an available wireless network (Wi-Fi), receive network login information such as an Wi-Fi SSID (service set identification) and Password through a system generated equivalent QR code that can then be scanned to automatically connect to the Wi-Fi network. The system receives a request for Wi-Fi settings at a premises, identifies customer equipment associated with the premises, identifies an Wi-Fi SSID (Service Set Identification) and password associated with the customer equipment, generates a QR (Quick Response) code representing the Wi-Fi SSID and password, sends the QR code to one or more devices associated with the premises for display and subsequent scanning at the premises.

Abstract: The invention relates to a vertical turbine pump having a riser pipe extending along an axis, a motor shaft arranged in the riser pipe, an elbow housing with an elbow arranged therein and connected on a pressure side to the riser pipe, a lantern housing arranged on the elbow housing and accommodating the motor shaft, and a motor arranged on the lantern housing and driving the motor shaft, wherein the elbow housing and/or the lantern housing is formed mould-free and has a rectangular cross section.

Abstract: A bearing arrangement for guiding a motor shaft for supporting axial and/or radial forces of a vertical turbine pump. The bearing arrangement includes a bearing comprising an inner ring which can be non-rotatably connected to the motor shaft and an outer ring, an oil sump filled with an oil, within which the bearing is arranged at least partially immersed in the oil, and an inner oil deflector which is non-rotatably connected to the inner ring and deflects oil conveyed between the inner ring and the outer ring back into the oil sump as a result of rotation of the bearing.

Abstract: Local automatic white balance (AWB) of wide dynamic range (WDR) images is provided. Methods and systems include collecting, by an image signal processor (ISP), statistics for local AWB from at least one wide dynamic range (WDR) image received by the ISP; generating, by a processor, based on the statistics, local gain lookup tables (LUTs), one for each color channel represented in the WDR image(s), each local gain LUT providing a correlation between gain and intensity; and storing the local gain LUTs. Further processing includes, for each of multiple pixels of a WDR image to be output calculating an intensity value, accessing the local gain LUT for the color channel corresponding to that pixel using the calculated intensity value to identify a corresponding local gain value, and applying the local gain value to that pixel.

Abstract: A technique for image processing, comprising: receiving input image data, wherein the image data is companded into a first bit depth, wherein the image data includes incomplete color values for pixels of the image data, and wherein the image data is associated with a first color space, interpolating the image data to generate color values for the incomplete color values for pixels of the image data, expanding the image data from the first bit depth to a second bit depth, wherein the color values of the expanded image data have a linear dynamic range, and wherein the second bit depth is higher than the first bit depth, converting the color values for pixels of the expanded image data from the first color space to a second color space, and compressing the color values for pixels of the image data to a third bit depth, the third bit depth lower than the second bit depth, and wherein the compressed color values have a nonlinear dynamic range.

Abstract: A method and system for controlling implementation of dynamic content modification. The disclosure provides for using at least one steganographically-encoded timestamp in a media stream transmitted to a media client as a basis to determine a transmission delay for media-stream transmission to the media client, and for providing the determined transmission delay as a basis to facilitate control over whether to have the media client implement dynamic content modification. In addition, the disclosure provides for receiving respectively from each of various media clients a report indicating transmission delay determined for the media client based on such steganographically-encoded timestamp data, and using the transmission delays for the media clients to establish a dynamic-content-modification footprint that could be used to control whether, where, and to what extent dynamic content modification will be applied.

Abstract: In some embodiments, a camera includes a lens assembly in a lens carrier, an image sensor for capturing a digital representation of light transiting the lens, and a voice coil motor. In some embodiments, the voice coil motor includes a spring suspension assembly for moveably mounting the lens carrier to an actuator base, a plurality of permanent magnets mounted to the actuator base through a magnet holder assembly and a focusing coil fixedly mounted to the lens carrier and mounted to the actuator base through the suspension assembly. In some embodiments, the permanent magnets each generate a magnetic field of a respective permanent magnet field strength, and the magnet holder assembly generates a holder magnetic field of a holder magnetic field strength.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve the inspection of network data flows. An example apparatus includes memory, and processor circuitry to execute machine readable instructions to at least identify network domains accessible by at least one client device in a geographic location of interest, associate the identified network domains with Autonomous System Numbers (ASNs), create a list of respective ones of the ASNs that include a non-malicious status corresponding to Internet protocol (IP) addresses associated with respective ones of the identified network domains, and in response to receiving a reputation request corresponding to a destination IP address, cause inspection of a data flow to be skipped when the destination IP address is associated with the list of non-malicious ASNs.

Abstract: A back-end server computer comprises a processor and computer-readable medium that comprises code executable by the processor for implementing the following method. The back-end server computer obtains a message comprising content to provide to an application installed on a user device. The back-end server computer encrypts the message with a master secret key or a key derived from the master secret key to obtain an encrypted message. The back-end server computer provides the encrypted message to the user device. The user device, using a secure element, signs the encrypted message, cryptographically recovers, using a whitebox in the application, a secure element public key from a certified key using a back-end server computer public key, cryptographically recovers, using the whitebox, the encrypted message from the signed encrypted message, and decrypts, using the whitebox, the encrypted message using the master secret key or the key derived therefrom to obtain the message.

Abstract: Aspects of the disclosure relate to dynamic model configuration and execution. A computing platform may receive first model data comprising first model execution configuration data and first model output configuration data. The computing platform may generate a first model based on the first model execution configuration data. The computing platform may distribute, to a plurality of computing platforms, the first model, the first model execution configuration data, and the first model output configuration data. The computing platform may receive a second request to execute one or more models from a third computing platform. The computing platform may receive, from the third computing platform, first model execution data. The computing platform may execute the first model based on the first model execution data and the first model execution configuration data to generate a first model output score.

Abstract: A high-temperature decomposition reactor is provided. The reactor includes a reaction vessel, a furnace, and an insulation layer. The reaction vessel includes an inner volume configured to contain a quantity of carbonated medium while the quantity of carbonated medium transitions to a quantity of carbonation medium. The furnace is disposed around the reaction vessel and includes a furnace material. The furnace material is configured to simultaneously absorb heat and transmit heat. In some instances, the furnace material transmits heat to the inner volume to heat the carbonated medium. The insulation layer is disposed around the furnace and configured to prevent thermal losses from the reactor.

Abstract: Embodiments described herein provide an automated testing pipeline for providing a testing dataset for testing a trained neural network model trained using a first training dataset. A first testing dataset for the trained neural network including a first plurality of user queries is received. A dependency parser is used to filter the first plurality of user queries based on one or more action verbs. A pretrained language model is used to rank the remaining user queries based on respective relationships with queries in the first training dataset. Further, user queries that are classified as keyword matches with the queries in the first training dataset using a bag of words classifier are removed. A second testing dataset is generated using the ranked remaining user queries. Testing outputs are generated, by the trained neural network model, using the second testing dataset.