Abstract: A method of providing a base format for PUCCH power control is disclosed, the method comprising: defining a base format PUCCH based on established relationships with the different formats of PUCCH configured in the network, measuring an acceptable SINR for PUCCH formats x?{0, . . . ,4} over varying channel, wherein the PUCCH format with a minimum SINR is defined as the Base format for the PUCCH calculations, calculated by multiplying PUCCH_FORMAT_X with the min of the SINR of each of the measurements of the SINR over each of the PUCCH formats.

Abstract: A system for continuously monitoring at least one machine including at least one magnetic sensor sensing magnetic fields emitted by at least one machine, at least one vibration sensor synchronously sensing vibrations emitted by the at least one machine, a signal analyzer receiving at least a portion of the magnetic field emission signals and vibration signals and performing analysis thereof, the signal analyzer providing an output based on the analysis, the output including at least an indication of a condition of the at least one machine, and a control module initiating at least one of a repair event on the at least one machine, an adjustment to a maintenance schedule of the at least one machine and an adjustment to an operating parameter of the at least one machine based on the indication, whereby efficacy of the at least one machine is improved.

Abstract: An apparatus and method for synchronizing a triggered system to a triggering system by tracking the timing of rising and falling edges of a clock signal at the triggered system and using the tracked timing values for phase shift adjustment of a time base at the triggered systems.

Abstract: A computing device is described that accepts, a telephone call, from another device, initiated by a caller. Prior to establishing a telephone user interface that receives spoken input from the user and outputs spoken audio from the caller, the computing device executes a call screening service that outputs an audio user interface, to the other device and as part of the telephone call. The audio user interface interrogates the caller for additional information including a purpose of the telephone call, which allows the user to have more context of the telephone call before deciding whether to accept the call or hang up. The computing device outputs a graphical user interface associated with telephone call. The graphical user interface includes an indication of the additional information obtained via the audio user interface that interrogates the caller.

Abstract: The disclosure herein describes providing item selection recommendations using prediction scores based on a user's selection cycle of an item. A set of filter weights is generated using a trained hypernetwork. The set of filter weights is specific to a user and an item. Each filter weight is indicative of a probability that the user will select the item at the associated time period. A prediction score is generated for the item using the set of filter weights and item selection history data of the user, including a time period at which the user last selected the item. A selection recommendation is then provided to the user based at least in part on the generated prediction score during a current time period. The disclosure uses filter weights associated with explicit time periods to capture selection cycles of items for the user to improve the accuracy of provided selection recommendations.

Abstract: A diagnostic tool for deep learning similarity models and image classifiers provides valuable insight into neural network decision-making. A disclosed solution generates a saliency map by: receiving a test image; determining, with an image classifier, an image classification of the test image; determining, for the test image, a first activation map for at least one model layer using the determined image classification; determining, for the test image, a first gradient map for the at least one model layer using the determined image classification; and generating a first saliency map as an element-wise function of the first activation map and the first gradient map.

Abstract: Methods for automated identification of vascular features are described. In some embodiments, one or more machine learning (ML)-based vascular classifiers are used, with their results being combined to with results of at least one other vascular classifier in order to produce the final results. Potentially advantages of this approach include the ability to combine certain strengths of ML classifiers with segmentation approaches based on more classical (“formula-based”) methods. These strengths may include particularly the identification of anatomically identified targets mixed within an image also showing similar looking but anatomically distinct targets.

Abstract: An optical system for particle size and concentration analysis, includes: at least one laser that produces an illuminating beam; a focusing lens that focuses the illuminating beam on particles that move relative to the illuminating beam at known or pre-defined angles to the illuminating beam through the focal region of the focusing lens; and at least two forward-looking detectors, that detect interactions of particles with the illuminating beam in the focal region of the focusing lens. The focusing lens is a cylindrical lens that forms a focal region that is: (i) narrow in the direction of relative motion between the particles and the illuminating beam, and (ii) wide in a direction perpendicular to a plane defined by an optical axis of the system and the direction of relative motion between the particles and the illuminating beam. Each of the two forward-looking detectors is comprised of two segmented linear arrays of detectors.

Abstract: A regimen is described for providing early onset of action in the therapeutic treatment of rosacea including topically applying a pharmaceutical composition to the skin of a subject in need of said treatment. The pharmaceutical composition includes about 1% to about 10% benzoyl peroxide as the only active ingredient, and a pharmaceutically acceptable carrier or excipient. The pharmaceutical composition is applied once daily for a period of at least about 2, 4, 8 or 12 weeks. Based on early onset of action, a primary measure of success is at least about 9%, primary measure of success being defined as a 2-grade improvement in IGA of clear or almost clear; and a secondary measure of success is at least about 40%, secondary measure of success being defined as mean inflammatory lesion count percent reduction from baseline, after at least about 2 weeks of treatment.

Abstract: An array of optical resonators includes at least a first type of optical resonators each having a resonant response to an optical field at a first wavelength, and a second type of optical resonators each having a resonant response to an optical field at a second wavelength, being different from the first wavelength. The resonant responses can be selected to reduce chromatic aberrations, or to shape a profile of a light beam, or to selectively switch a near field beam.

Abstract: Novel and useful system and methods of functional safety mechanisms for use in an artificial neural network (ANN) processor. The mechanisms can be deployed individually or in combination to provide a desired level of safety in neural networks. Multiple strategies are applied involving redundancy by design, redundancy through spatial mapping as well as self-tuning procedures that modify static (weights) and monitor dynamic (activations) behavior. The NN processor incorporates functional safety concepts which reduce its risk of failure that occurs during operation from going unnoticed. The mechanisms function to detect and promptly flag and report the occurrence of an error with some mechanisms capable of correction as well. The safety mechanisms cover data stream fault detection, software defined redundant allocation, cluster interlayer safety, cluster intralayer safety, layer control unit (LCU) instruction addressing, weights storage safety, and neural network intermediate results storage safety.

Abstract: A system for stable and streamlined transaction approval includes a rule management server and an authorizer server that operates independently of the rule management server. The rule management server is configured to receive a transaction rule associated with an account specified by a client entered through a portal generated by a graphical user interface. The server is further configured to identify data relevant to the transaction rule and transmit the transaction rule and the data identified to an authorizer server. The authorizer server is configured to receive transaction data related to a pending transaction of the credit card and apply the transaction rule to the transaction data and the data identified by the rule management server to determine whether to approve the pending transaction. The authorizer server operates independent of the rule management server and can be optimized to approve transactions quickly and operate in a stable condition.

Abstract: A travel system generates and provides content recommendations to a user of the travel system. The travel system identifies content categories that are likely to be of interest to the user of the travel system based on context characteristics of the user such as whether the user is a traveler or a local at a particular geographic location. Additionally, the travel system further identifies content objects (e.g., attractions, activities, events, restaurants, businesses, and the like) for each identified content category that are likely to be of interest to the user based on characteristics of each content object. The identified content categories and content objects are provided as content recommendations for display to a user of the travel system, enabling a user to quickly navigate between content categories and content objects within each content category.

Abstract: A regimen for the therapeutic treatment of rosacea in subjects aged 65 years and older, the regimen comprising topically applying to the skin of a subject aged 65 years and older in need of said treatment a pharmaceutical composition, the pharmaceutical composition comprising about 1% w/w to about 10% w/w benzoyl peroxide as an active ingredient, and a pharmaceutically acceptable carrier or excipient, wherein the benzoyl peroxide is the only active ingredient in said pharmaceutical composition, wherein said pharmaceutical composition is applied once daily for a period of at least about 2 weeks, to achieve, in a group of such subjects, a success rate of at least about 15%, wherein the success rate is defined as the number of subjects achieving clear or almost clear skin on the investor global assessment (IGA) scale after treatment with the pharmaceutical composition.

Abstract: Methods, apparatuses and computer program products implement embodiments of the present invention that include capturing a series of point-in-time images of a database including one or more tables, each of the tables including one or more fields. Upon receiving, from a user, a query with respect to a variation of a given field over a specified period of time, the point-in-time images are analyzed in order to extract the variation; and the extracted variation is presented to the user.

Abstract: A network interface adapter can select between a first transport protocol and a second transport protocol to transmit a network packet based on a state of a connection to a destination address for the second transport protocol. The second transport protocol encapsulates the network packet formatted in the first transport protocol. The network interface adapter can automatically use the second transport protocol when the state of the connection is in an active state, and the first transport protocol when the state of the connection is not in the active state.

Abstract: Aspects of the disclosure relate to wireless communication with a waveform configured according to probabilistic constellation shaping in connection with modulation. A wireless transmission device may determine a sequence of amplitude symbols from a sequence of information bits using a distribution matcher (DM) configured for probabilistic amplitude shaping. The device may further apply error correction coding to encode an information block corresponding to at least a portion of the sequence of amplitude symbols. And the device may generate a sequence of output symbols for transmission based on the encoded information block. In various examples, the device may apply interleaving to one or more of the sequence of amplitude symbols, the information block, the encoded information block, or a combination of the sequence of amplitude symbols and the encoded information block, for the generating of the sequence of output symbols. Other aspects, embodiments, and features are also claimed and described.

Abstract: A method of determining a lower bound on users' speed for efficient SRS resource handling for MU-MIMO transmission includes determining an eNodeB (eNB) or gNodeB (gNB) timing of a subframe; determining a User Equipment (UE) timing of the subframe; calculating a timing advance type corresponding to a Round Trip Time (RTT); calculating a distance to a base station corresponding to the Round Trip Time (RTT); calculating a distance traveled by a UE between two points based on the distance to the base station; calculating a user speed based on the distance traveled by the UE; deriving a lower bound based on the user speed; and filtering users that exceed the lower bound on user speed. The filtered users may be not assigned SRS. The non-filtered users may be assigned SRS and may subsequently be sent MU-MIMO transmissions.

Abstract: An agricultural monitoring system, apparatus and method(s) for providing crop-related forecasts by performing the steps of receiving seasonal image data from at least one source, where the seasonal image data is associated with at least one agricultural field, processing the seasonal image data using a Bayesian framework, where the Bayesian framework comprises one or more crop models configured to predict, based on the seasonal image data, one or more probabilities indicative of at least one crop state, updating at least one crop model of the Bayesian framework based on the one or more probabilities, and outputting a forecast of the at least one crop state based on the one or more probabilities.

Abstract: A system for detects and manages recurring transactions incurred by members of a client organization. The system includes a computing server that is configured to classify named entities into a category of transacting named entities. For example, the computing server classifies a list of named entities that offer subscription services and hence, create recurring transactions with the client organization. The computing server receives transaction data and determines that a target transacting named entity extracted from the received data belongs to the category (e.g., there is a named entity in the received transaction data that has sold a service to the client organization more than once). The computing server may then determine the presence and frequency of a subscription transaction series in the received transaction data, and cause a predicted a timing of an upcoming transaction in the subscription transaction series to be displayed in a graphical user interface (GUI).