Abstract: An apparatus includes a lens assembly that includes at least one lens that defines an optical axis, a lens holder coupled to the lens assembly, a substrate, an image sensor disposed on the substrate, and an actuator coupled between the lens holder and the substrate and configured to adjust a position of the substrate relative to the lens assembly to reposition the image sensor along the optical axis. The apparatus also includes a position sensor that includes a magnet and a magnetic field sensor. The position sensor is coupled to the substrate and the lens holder. The magnetic field sensor is configured to generate magnetic field data indicating a position of the substrate relative to the lens holder. The apparatus additionally includes circuitry configured to control the actuator based on the magnetic field data to place the image sensor within a depth of focus of the lens assembly.

Abstract: Described herein are systems, methods, and software to manage power consumption in a software build environment. In one implementation, a monitoring service monitors power consumption information associated with a build environment for one or more software components. The monitoring service further identifies one or more trends associated with the power consumption information based at least on the power consumption information satisfying one or more criteria and generates a summary for display that indicates at least the one or more trends. The monitoring service may also identify and display as part of the summary one or more suggestions to improve power consumption based on the one or more trends.

Abstract: Disclosed herein are systems and methods for analyzing one or more package. In an embodiment, disclosed is a method comprising determining, by a sensor component of a package analysis device comprising a processor that executes computer executable components stored in a memory and the memory that stores computer executable components, a presence of a package and a set of dimensions of the package and extracting, by an image capturing component of the package analysis device, a set of image data from a package label based on a determined presence of the package.

Abstract: Semantic analysis to resolve ambiguous user input data with respect to a request for data includes identifying tokens based on the text string, identifying a tables in a database, wherein a token indicates a column from a table and a token indicates a column from another table, identifying candidate join paths for joining tables, obtaining respective candidate results using the candidate join paths, outputting combined candidate results including values from the respective candidate results, obtaining second user input data indicating a selected value, identifying the request for data as unambiguous and identifying a selected join path based on the selected value, and, in response to identifying the request for data as unambiguous, outputting data responsive to the request for data using the selected join path.

Abstract: Aspects of the present disclosure relate to methods, systems, and apparatus for conducting a radical treatment operation on a substrate prior to conducting an annealing operation on the substrate. In one implementation, a method of processing semiconductor substrates includes pre-heating a substrate, and exposing the substrate to species radicals. The exposing of the substrate to the species radicals includes a treatment temperature that is less than 300 degrees Celsius, a treatment pressure that is less than 1.0 Torr, and a treatment time that is within a range of 8.0 minutes to 12.0 minutes. The method includes annealing the substrate after the exposing of the substrate to the species radicals. The annealing includes exposing the substrate to molecules, an anneal temperature that is 300 degrees Celsius or greater, an anneal pressure that is within a range of 500 Torr to 550 Torr, and an anneal time that is less than 4.0 minutes.

Abstract: A computer-implemented system and method for generating time-based contextual graph in cloud computing environment is disclosed. The system receives, from computing devices, requests corresponding to security anomaly analysis of cloud infrastructure-based resources and applications. The system identifies parent node and node attributes corresponding to parent node in cloud infrastructure-based resources and/or applications, based on requests. Further, system determines hierarchical node relationships between parent node and child nodes, based on identified node attributes. Furthermore, system analyses risks in context of security anomaly associated with cloud infrastructure-based resources and/or applications, based on hierarchical node relationships between parent node and child nodes. Further, system generates time-based contextual graph corresponding to analyzed risks in context of security anomaly, based on determined hierarchical node relationships.

Abstract: An apparatus and method for expanded cohort application of machine-learning classifier methods based on a seed data set. The apparatus comprises at least a processor configured to receive at least a labeled seed set, train an embedding model based on the seed data, determine a plurality of vector representations for both the seed set and the target data, identify commonalities between the seed vector representation and the target vector, and provide the vector training data to a supervised machine-learning application for subsequent classifications.

Abstract: In one aspect, an example method includes (i) providing, by a playback device, replacement media content for display; (ii) determining, by the playback device that while the playback device is displaying the replacement media content a remote control transmitted an instruction to a media device that provides media content to the playback device; (iii) determining, by the playback device, a playback-modification action corresponding to the instruction and the media device; and (iv) modifying, by the playback device, playback of the replacement media content in accordance with the playback-modification action.

Abstract: Frames from an image stream or streams are processed by independently operating digital signal processors (DSPs), with only frame checking microprocessors operating in a lockstep mode. In one example, two DSP are operating on alternate frames. Each DSP processes the frames and produces prediction values for the next frame. The lockstep microprocessors develop their own next frame prediction. The lockstep processors compare issued frames and previously developed predicted frames for consistency. If the predictions are close enough, the issued frame passes the test. The lockstep processors then compare the issued frame to the preceding two frames for a similar consistency check. If the prior frames are also close enough, the issued frame is acceptable. In another example, hardware checkers are provided to compare the present frame with a larger number of prior frames. The hardware checkers provide comparison results to the lockstep processors to compare against allowable variation limits.

Abstract: An initiator device can broadcast a witness request to one or more authentication devices. The one or more authentication devices can then determine an assurance level from a range of assurance levels and determine a token share corresponding to the assurance level. The initiator device can then receive, from the one or more authentication devices, at least one witness response comprising the token share corresponding to the assurance level. The initiator device can generate an authentication token using a set of token shares. The initiator device can then transmit the authentication token to an authentication server, wherein the authentication server verifies the authentication token.

Abstract: A lift device includes a chassis, a platform configured to support an operator, the platform including an attachment point configured to engage a lanyard to secure the operator to the platform, a lift assembly coupling the platform to the chassis and configured to raise the platform relative to the chassis, a sensor configured to provide sensor data indicative of engagement between the attachment point and the lanyard, and a controller operatively coupled to the sensor. The controller is configured to determine, based on the sensor data, if the lanyard is engaged with the attachment point. In response to a determination that the lanyard is not engaged with the attachment point, the controller is configured to at least one of (a) activate an alarm to provide a notification to alert the operator that the lanyard is not engaged with the attachment point or (b) limit movement of the lift device.

Abstract: A lift device includes a lift assembly, a platform, and a controller. The lift assembly is configured to be driven to increase or decrease in length by extension and retraction of one or more actuators. The platform is coupled at an upper end of the lift assembly. The controller is configured to receive a value of a pitch angle and a roll angle of the lift device from an orientation sensor. The controller is further configured to determine a maximum allowable elevation of the platform based on at least one of the value of the roll angle and the value of the pitch angle of the lift device. The controller is further configured to limit operation of the lift assembly based on the maximum allowable elevation of the platform.

Abstract: The present invention provides binding proteins, such as antibodies and antigen-binding fragments, which specifically bind to human IL-36 cytokines, IL-36?, IL-36?, and/or IL-36?, and block the IL-36 stimulated signaling pathways. Compositions comprising such binding proteins and methods of making and using such binding proteins are also provided.

Abstract: Systems and method for machine-learning assisted road sign content prediction and machine learning training is disclosed. A sign detector model processes images or video with road signs. A visual attribute prediction model extracts visual attributes of the sign in the image. The visual attribute prediction model can communicate with a knowledge graph reasoner to validate the visual attribute prediction model by applying various rules to the output of the visual attribute prediction model. A plurality of potential sign candidates are retrieved that match the visual attributes of the image subject to the visual attribute prediction model, and the rules help to reduce the list of potential sign candidates and improve accuracy of the model.

Abstract: Systems and methods include performing inline monitoring of production traffic between users, the Internet, and cloud services via a cloud-based system; utilizing a trained machine learning model to inspect static properties of files in the production traffic; and classifying the traffic as one of malicious or benign based on the trained machine learning model.

Abstract: A method includes collecting data related to a key performance indicator (KPI) for a cell in a mobile network. The method includes aggregating the collected data for the KPI into a plurality of groups, wherein a first group of the plurality of groups comprises values of the KPI during a time period in a first day, a second group of the plurality of groups comprises values of the KPI during the time period in a second day preceding the first day, and a third group of the plurality of groups comprises values of the KPI during the time period in a third day preceding the second day. The method includes determining whether the cell is a sleeping cell based on a comparison of the first, second and third groups. The method includes labelling the cell as sleeping in response to a determination that the cell is sleeping.

Abstract: Example implementations include a method, apparatus and computer-readable medium for providing security system information using an augmented reality (AR) effect, comprising receiving security system information from at least one security device in an environment, wherein the security system information is of a first type of security event. The implementations further include selecting, from a plurality of AR effects, a first AR effect that is configured to output information of the first type. Additionally, the implementations further include determining a three-dimensional location in the environment that is associated with the security system information. Additionally, the implementations further include generating, for display on a user interface, an AR object of the first AR effect at the three-dimensional location.

Abstract: According to one aspect, profile modeling may be achieved by receiving a first set of data and performing feature selection on the first set of data, receiving a second set of data and performing classification on the second set of data using fuzzy logic inference, receiving a third set of data and performing clustering on the third set of data using hierarchical cluster analysis, and generating a prediction model based on the first set of data, the second set of data, and the third set of data. The prediction model may generate a prediction for profile modeling by receiving a first input of the same data type as the first set of data, a second input of the same data type as the second set of data and outputting the prediction for profile modeling having the same data type as the third set of data.

Abstract: Disclosed are various embodiments for providing an efficient and time-saving shopping experience by allowing a user to initiate a purchase of items corresponding to items included in an item list (e.g., shopping list) while minimizing user interactions. A user may initiate a shopping experience via a voice command and/or an interaction with a user interface associated with a list management service. Using keywords included in the item list, a list of recommended items that correspond to items included in the shopping list and are available for purchase at a particular store can be determined and presented to the user. Item listings may be preselected for purchase based at least in part on a determined likelihood that the user will purchase the item. The user can review the recommended items and select a purchase component (e.g., add-to-cart component, buy component), that upon selection, initiates the purchase of the selected items.

Abstract: There is disclosed in one example an enrollment over secure transport (EST)-capable gateway device, including: a hardware platform including a processor and a memory; a first network interface to communicatively couple to an external network, including an external DNS server; a second network interface to communicatively couple to a home network; a caching DNS server including a local DNS cache, and logic to provide DNS services to the home network; and an EST proxy to authenticate to a local endpoint on the home network, provision a DNS server certificate on the local endpoint, provision an authentication domain name (ADN) on the local endpoint, and provide encrypted domain name system (DNS) services to the local endpoint.