Abstract: A method for handling a Discontinuous reception (DRX) operation by a user equipment (UE) in a wireless network is provided. The method includes detecting an event. The event includes at least one of a hybrid automatic repeat request (HARQ) feedback being disabled, a HARQ feedback not being configured, or an unsuccessful multicast transport block (TB) decoding. Further, the method includes performing an action based on the detected event. In an example, the action includes adding an additional timing duration to at least one preconfigured DRX timer value and staying awake by the UE while the preconfigured timer is running. The action includes staying awake by the UE in spite of a multicast DRX active time being over and continuing to monitor for potential HARQ retransmission.

Abstract: This disclosure is directed to the problem of paralleling random read access within a reasonably sized block of data for a vector SIMD processor. The invention sets up plural parallel look up tables, moves data from main memory to each plural parallel look up table and then employs a look up table read instruction to simultaneously move data from each parallel look up table to a corresponding part a vector destination register. This enables data processing by vector single instruction multiple data (SIMD) operations. This vector destination register load can be repeated if the tables store more used data. New data can be loaded into the original tables if appropriate. A level one memory is preferably partitioned as part data cache and part directly addressable memory. The look up table memory is stored in the directly addressable memory.

Abstract: Disclosed are systems and techniques for wireless communications. For example, a first user equipment (UE) can receive positioning data corresponding to a second UE. In some cases, the first UE can determine a relative position between the first UE and the second UE. In some aspects, the first UE can determine a first location estimate of the first UE based on the positioning data corresponding to the second UE and the relative position between the first UE and the second UE.

Abstract: Techniques for improved machine learning are provided. Patient data describing a patient is received, and a medication to be evaluated with respect to the patient is identified. An efficacy score is generated by processing at least a subset of the patient data using a hybrid machine learning model comprising a static portion and a dynamic portion, where the efficacy score indicates predicted efficacy of the medication for the patient. The medication is provided for the patient based at least in part on the efficacy score.

Abstract: Rotor channels extend axially in a rotor to provide flow of coolant in opposite directions to provide a more uniform thermal gradient. The rotor channels include a first rotor channel coupled to a first feed hole via an annulus and extending axially in a first direction to a first side hole, and a second rotor channel coupled to a second feed hole via an annulus and extending axially in the opposite direction to a second side hole. The rotor includes a first end plate arranged at a first axial position that includes the first side hole, and a second end plate arranged at a second axial position that includes the second side hole. The first and second end plates are identical and are arranged azimuthally at an angle to each other. Fluid flows through the channels, cooling the rotor, and then flows past end windings for stator cooling.

Abstract: A memory device includes a first electrode comprising a first conductive nonlinear polar material, where the first conductive nonlinear polar material comprises a first average grain length. The memory device further includes a dielectric layer comprising a perovskite material on the first electrode, where the perovskite material includes a second average grain length. A second electrode comprising a second conductive nonlinear polar material is on the dielectric layer, where the second conductive nonlinear polar material includes a third grain average length that is less than or equal to the first average grain length or the second average grain length.

Abstract: A method to optimize a gas processing plant with control parameters. The method includes acquiring a plurality of images, using a camera, of an incoming contaminated fluid and processing, by a computer processor, the plurality of images by a machine-learned model to produce a contamination estimate. The method further includes adjusting the control parameters of the gas processing plant, forming adjusted control parameters based on, at least in part, the contamination estimate. The method further includes receiving a plurality of data signals from a plurality of sensors configured to monitor sub-processes of the gas processing plant and validating the adjusted control parameters with the received data signals by verifying that the adjusted control parameters optimize, or at least improve the performance of, the gas processing plant.

Abstract: A fault detection assembly for a PV solar generation assembly comprised of an array of PV modules including a plurality of series PV module strings connected in parallel, the fault detection assembly including: a plurality of current sensors arranged to monitor respective string currents of said strings; a processing arrangement in communication with the current sensors for receiving values of the string currents therefrom; a memory device accessible to the processing arrangement containing instructions for execution by the processing arrangement including instructions for: determining a representative string current for currents of the plurality of strings; deeming one or more strings having currents that are outliers to the representative string current by more than a threshold value to be subject to a fault; and issuing an alarm including an identification of the one or more strings deemed to be subject to the fault.

Abstract: The present disclosure describes compounds of Formula (I) and pharmaceutically acceptable salts thereof:

Abstract: Embodiments disclosed herein include a method of modeling a rapid thermal processing (RTP) tool. In an embodiment, the method comprises developing a lamp model of an RTP tool, wherein the lamp model comprises a plurality of lamp zones, calculating an irradiance graph for the plurality of lamp zones, multiplying irradiance values of the plurality of lamp zones in the irradiance graph by a power of an existing RTP tool at a given time during a process recipe, summing the multiplied irradiance values for the plurality of lamp zones to form an irradiation graph of the lamp model, using the irradiation graph as an input to a machine learning algorithm, and outputting the temperature across a hypothetical substrate from the machine learning algorithm.

Abstract: In one embodiment, a processor includes a power controller having a resource allocation circuit. The resource allocation circuit may: receive a power budget for a first core and at least one second core and scale the power budget based at least in part on at least one energy performance preference value to determine a scaled power budget; determine a first maximum operating point for the first core and a second maximum operating point for the at least one second core based at least in part on the scaled power budget; determine a first efficiency value for the first core based at least in part on the first maximum operating point for the first core and a second efficiency value for the at least one second core based at least in part on the second maximum operating point for the at least one second core; and report a hardware state change to an operating system scheduler based on the first efficiency value and the second efficiency value. Other embodiments are described and claimed.

Abstract: Detection equipment (46) detects a false cell (18) in a wireless communication network (10). The detection equipment (46) obtains a test dataset (40) that comprises one or more test datapoints (42), with each test datapoint indicating a combination (44) of values detected for a cell characteristic. The detection equipment (46) tests for the presence of a false cell (18) that is using the same cell identity as a genuine cell, based on an extent to which the test dataset (40) differs from a training dataset (26) according to a model (30) trained using the training dataset (26).

Abstract: A dual-screen computing device includes two separate displays that are coupled to an interconnecting hinge. A hinge detector detects movement or position of the hinge, and the positions of the displays may be determined based on the hinge movement or position. The positions of the displays relative to each other may then be used to determine which mode of operation the dual-screen computing device is operating (e.g., tent mode, open, closed, etc.). Additionally, the dual-screen computing device may include various sensors that detect different environmental, orientation, location, and device-specific information. Applications are configured to operate differently based on the mode of operation and, optionally, the sensor data detected by the sensors.

Abstract: Disclosed are techniques for dynamically creating policy-based intermediate certificates to sign device certificates of devices deployed in an enterprise network using ZTD. In one aspect, a method includes receiving network policy information to be used for creating policy-based intermediate certificates, each one of the policy-based intermediate certificates being used by a network controller for signing devices certificates of a different cluster of connected IoT devices; receiving, from an IoT device, a request for registration with the network controller; based on identifying information of the IoT device included in the request, determining one of the policy-based intermediate certificates to sign a device certificate of the loT device; and transmitting, to the IoT device, the device certificate signed using the one of the policy-based intermediate certificates.

Abstract: Systems, methods, and apparatus related to a multi-level error correction architecture used for copying data in memory devices. In one approach, user data is stored in the first partition of a non-volatile memory. First error correction code data is generated for the user data and stored with the user data in the first partition. Second error correction code data is generated for the user data and stored outside the first partition. The second error correction code data provides an increased error correcting capability that is compatible with the error correction algorithm used with the first error correction code data. A copyback operation is used to copy the user data and the first error correction code, but not the second error correction code, to a second partition of the non-volatile memory. The second error correction code can be selectively used if there is a need to recover portions of the user data stored in the first partition.

Abstract: A method of inspection for defects on a substrate, such as a reflective reticle substrate, and associated apparatuses. The method includes performing the inspection using inspection radiation obtained from a high harmonic generation source and having one or more wavelengths within a wavelength range of between 20 nm and 150 nm. Also, a method including performing a coarse inspection using first inspection radiation having one or more first wavelengths within a first wavelength range; and performing a fine inspection using second inspection radiation having one or more second wavelengths within a second wavelength range, the second wavelength range comprising wavelengths shorter than the first wavelength range.

Abstract: According to examples, an apparatus may include a processor and a memory on which are stored machine-readable instructions that when executed by the processor, may cause the processor to receive information regarding a performance characteristic of an application during predetermined time periods. The processor may calculate a rate of change in the performance characteristic over the predetermined time periods. Based on a determination that the performance characteristic of the application has changed over the predetermined time periods, the processor may tune values of a set of parameters for the application based on the calculated rate of change in the performance characteristic.

Abstract: For performing analysis of enterprise application, code analysis tools may be used. But currently available analysis tools lack support for analyzing database processing statements, such as structured query language (SQL) statements and inter-service communication statements that may be present along with the programming language statements in the computer program. Present disclosure provides method and system for performing program transformations for precise analysis of enterprise applications. The system transform each database processing statement present in a computer program associated with the enterprise application into host programming language statement and each service call into function call statements. In particular, the system replaces syntax of embedded language with equivalent host programming language syntax. The system then uses existing code analyzers for performing analysis of the computer program to get data flow information of the computer program.

Abstract: A wireless station may include one or more processors. The wireless station may receive a no wireless fidelity (WiFi) signal indicating a parameter. The wireless station may also provide a scan signal comprising a scan list indicating a WiFi frequency band that a cellular modem is to scan for a WiFi signal based on the parameter. In addition, the wireless station may provide a mode signal based on the no WiFi signal. The mode signal may indicate that a WiFi modem is to enter a low power mode. Further, the wireless station may receive a detect signal indicating that the cellular modem detected the WiFi signal within the WiFi frequency band. The wireless station may provide a wake-up signal configured to cause the WiFi modem to enter an operational mode, the wake-up signal indicating a frequency of the detected WiFi signal.

Abstract: This disclosure relates to systems and methods for performing single input based multifactor authentication. Multifactor authentication refers to an authentication system with enhanced security which utilizes more than one authentication forms to validate identity of a user. Conventionally, the process of multifactor authentication is a serial process which involves inputting of authentication information multiple times. However, with conventional approaches, delay is introduced in execution of the multifactor authentication process. The method of the present disclosure addresses unresolved problems of multifactor authentication by enabling two or more factors to be assessed simultaneously making the authentication process faster without sacrificing the robustness of authentication process. Embodiments of the present disclosure analyzes spoken response of the user to a dynamically generated question for multifactor authentication.