Abstract: This disclosure provides systems, methods, and devices for wireless communication that support reselection procedures for power saving in industrial internet of things (IIoT) operations. In a first aspect, a method of wireless communication includes a user equipment (UE) setting a reselection flag to a no-reselection state either by default or in response to a source cell signal-to-noise ratio (SNR) exceeding a predetermined maximum SNR. The UE can set the flag to the allow-reselection state in response to the target cell SNR range exceeding the source cell SNR range or the source cell SNR being below a predetermined minimum SNR. The UE may then either reselect to the target cell when appropriate or maintain service on the source cell based on the state of the reselection flag. Other aspects and features are also claimed and described.

Abstract: A luminaire including an outer support member having a plurality of LED arrays; a driver housing centrally located within an interior of the outer support member; a plurality of attachment arms extending from the outer support member and secured to the driver housing, resulting in open spaces between the attachment arms and between outer support member and the driver housing and a plurality of heat dissipating fins extending from an upper surface of the outer support member to the driver housing.

Abstract: A differential video rendering system, including a graphics processing unit (GPU); a graphical display coupled to the GPU; a video decoder configured to decode a bitstream of encoded data into a plurality of sets of decoded blocks; at least one processor configured to: generate, based on a first set of the plurality of sets of decoded blocks, a first differential video frame comprising a plurality of sets of differential regions, normalize each set of the plurality of sets of differential regions to a fixed size block to provide a normalized plurality of sets of differential regions, map a respective set of the normalized plurality of sets of differential regions to align with a respective tile size region of a plurality of tile size regions conforming with the GPU, generate a hierarchal region tree based on the normalized plurality of sets of differential regions mapped to the plurality of tile size regions, and generate a plurality of optimal regions based on the hierarchal region tree satisfying a predefin

Abstract: The present invention, includes: a damper unit provided between an airbag module that acts as a damper mass for a steering wheel and the steering wheel to dampen vibrations of the steering wheel, an engagement mechanism provided in the airbag module that maintains the airbag module on the steering wheel in a relatively displaceable manner, and protecting means provided on the airbag module for stopping external forces to the engagement mechanism in a non-engaged state with the steering wheel, that may cause deformation, and thereby protecting the engagement mechanism.

Abstract: A technical validation mechanism is described that includes the use of facial feature recognition and tokenization technology operating in combination with machine learning models can be used such that specific facial or auditory characteristics of how an originating script is effectuated can be used to train the machine learning models, which can then be used to validate a video or a particular dynamically generated passphrase by comparing overlapping phonemes or phoneme transitions between the originating script and the dynamically generated passphrase.

Abstract: Systems, methods, and computer media are described for user risk assessment using similarity analysis. Records of transactions performed by a user while in previous enhanced application access sessions can be evaluated against records of transactions performed by other users in previous sessions. The more similar a user is to other users, the more likely it is the user was acting in a typical manner, and the less likely the user poses a security risk. A similarity analysis can be performed using a bipartite graph linking a group of users and a group of application transactions. By examining an edge between a user and a performed transaction, other edges (and corresponding other users) can be identified that also performed the transaction. A similarity score can be calculated based on the bipartite graph and can be used to determine a risk classification and allow or deny an enhanced application access session request.

Abstract: Methods and systems for generating a predictive HER2 score using machine learning models are disclosed. An example method generally includes identifying a plurality of nuclei and membrane segments in regions of interest in an input image using a first machine learning model. For the plurality of nuclei and membrane segments identified in the input image, a plurality of features are extracted and classified into one of a plurality of feature categories. Using a second machine learning model, a predictive HER2 score indicating the likelihood of whether a stained tissue sample captured in the input image is HER2 positive or HER2 negative is generated based on the classification assigned to the plurality of extracted features associated with the plurality of segments.

Abstract: Systems and methods provide for managing faulting network devices. A first network device can receive an error. The first network device can generate one or more frames including data indicative of the error. The first network device can broadcast the one or more frames to one or more neighboring network devices. It may be determined that the first network device is inaccessible. The first data can be retrieved and presented from a second network device among the one or more neighboring network devices. In some embodiments, a network management system can utilize the first data to generate a machine learning model that classifies whether network devices are instances of network devices designated for a Return Merchandise Authorization (RMA) process. In some embodiments, the network management system can apply the first data to a machine learning classifier to determine whether to initiate the RMA process for the first network device.

Abstract: Systems and methods that process, classify, and provide intelligent insights related to received documents such as notice documents in real-time. The system and methods leverage a novel framework of artificial intelligence and machine learning techniques to identify a requirement in the document (e.g., a government notice) and generate actionable suggestions thereto.

Abstract: Systems and methods for automatic recognition of entities related to cloud incidents are described. A method, implemented by at least one processor, for processing cloud incidents related information, including entity names and entity values associated with incidents having a potential to adversely impact products or services offered by a cloud service provider is provided. The method may include using at least one processor, processing the cloud incidents related information to convert at least words and symbols corresponding to a cloud incident into machine learning formatted data. The method may further include using a machine learning pipeline, processing at least a subset of the machine learning formatted data to recognize entity names and entity values associated with the cloud incident.

Abstract: There are provided systems and methods for determining processing weights of rule variables for rule processing optimization. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules for decision-making of data including real-time data in production computing environments. Rules may correspond to coded statements that perform an automated decision-making service for the computing services and platforms of the service provider. When writing rules, different variables for data objects may be utilized, where each variable may perform a different operation and/or utilize a different operation for fetching and retrieving data used during rule processing. Each variable may therefore have a different data processing weights based on processing requirements of the data. Thus, optimization of rule authoring may be performed by mapping variables to other similar variables and showing a processing weight of each variable.

Abstract: This disclosure enables various technologies for tracking various objects (e.g., mammals, animals, humans, pets) within various defined areas (e.g., rooms, apartments, residences, vehicles, tents) to determine whether those objects satisfy or do not satisfy various criteria, signatures, or thresholds, which may relate to health, safety, or security of those objects within those defined areas. These technologies may be enabled via various radars (e.g., time-of-flight radars, Doppler radars) positioned within those defined areas to track those objects therein. For example, some of such radars may operate in a Ku-band inclusively between about 12 GHz and about 18 GHz, a K-band inclusively between about 18 GHz and about 27 GHz, or a Ka-band inclusively between about 26.5 GHz and about 40 GHz, each of which has been unexpectedly found to be technologically beneficial for tracking those objects within those defined areas.

Abstract: Some embodiments control access by applications to resources in a computing environment. An embodiment notes a request from an application to access a resource, determines a compliance status of the application based on access control policy compliance criteria, ascertains an authorization status of the request based on an authorization credential of the request and an authorization requirement of the resource, and responds to the request based on the compliance status and also based on the authorization status, thereby providing fine-grained access control. Access may also be controlled based on a request's beneficiary. An access request response may allow access, deny access, or ask for additional authorization. A compliance classifier reduces risk by dynamically updating compliance status after compliance criteria changes or attribute changes. An identity service access control architecture uses a compliance attribute to improve efficiency.

Abstract: System and computer-implemented method for predicting data replication process durations of virtual computing instance migrations between computing environments uses migration metrics that are collected during data replication processes of migrations of virtual computing instances from source computing environments to destination computing environments to train at least one model for predicting data replication process durations for future migrations of virtual computing instances using at least some of the migration metrics. The at least one trained model is used to generate a prediction of a data replication process duration for the migration by a plurality of predictors.

Abstract: Certain aspects of the present disclosure provide techniques for automatically detecting and classifying tumor regions in a tissue slide. The method generally includes obtaining a digitized tissue slide from a tissue slide database and determining, based on output from a tissue classification module, a type of tissue of shown in the digitized tissue slide. The method further includes determining, based on output from a tumor classification model for the type of tissue, a region of interest (ROI) of the digitized tissue slide and generating a classified slide showing the ROI of the digitized tissue slide and an estimated diameter of the ROI. The method further includes displaying on an image display unit, the classified slide and user interface (UI) elements enabling a pathologist to enter input related to the classified slide.

Abstract: An encapsulated LED engine having a printed circuit board, a plurality of LED arrays, each of said LED arrays mounted on said printed circuit board, and electrically connected to each other, an encapsulation layer comprising a pre-molded optic positioned over and adhered to the printed circuit board, and a frame positioned over the LED arrays and secured to the printed circuit board. A method of forming an encapsulated LED engine is also provided.

Abstract: Provided is a method for predicting emotion of a user by an electronic device. The method includes receiving, by the electronic device, a user context, a device context and an environment context from the electronic device and one or more other electronic device connected to the electronic device and determining, by the electronic device, a combined representation of the user context, the device context and the environment context. The method also includes determining, by the electronic device, a plurality of user characteristics based on the combined representation of the user context, the device context and the environment context; and predicting, by the electronic device, an emotion of the user based on the combined representation of the user context, the device context, the environment context and the plurality of user characteristics.

Abstract: In one embodiment, a test process herein may: execute an application under test; monitor execution of the application under test for system calls specific to a particular operating system in which the application under test is being executed; capture a count of system calls specific to the particular operating system during the execution of the application under test; and compute a portability metric based on the count of system calls specific to the particular operating system, the portability metric indicative of how dependent the application under test is on the particular operating system.

Abstract: In various examples, end of speech (EOS) for an audio signal is determined based at least in part on a rate of speech for a speaker. For a segment of the audio signal, EOS is indicated based at least in part on an EOS threshold determined based at least in part on the rate of speech for the speaker.

Abstract: This disclosure relates generally to a system and method for transactive energy (TE) market model. Existing TE models either consider market without a network simulation model or both the market model and the network simulation model are considered in a single formulation which makes the computation complex. The disclosed system considers both the power flow simulation of the network and the market model in a sequence. In other words, the disclosed system decouples the market model and network model to reduce the computational complexity at the same time without sacrificing on the technical feasibility of the solution.