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.

Abstract: Example aspects of the present disclosure relate to an example computer-implemented method for predicting the intent of actors within an environment. The example method includes obtaining state data associated with a plurality of actors within the environment and map data indicating a plurality of lanes of the environment. The method include determining a plurality of potential goals each actor based on the state data and the map data. The method includes processing the state data, the map data, and the plurality of potential goals with a machine-learned forecasting model to determine (i) a forecasted goal for a respective actor of the plurality of actors, (ii) a forecasted interaction between the respective actor and a different actor of the plurality of actors based on the forecasted goal, and (iii) a continuous trajectory for the respective actor based on the forecasted goal.

Abstract: This disclosure provides systems, methods and apparatuses for measurement of cells and determination of a non-standalone (NSA) coverage status using an NSA coverage database. The NSA coverage database may indicate candidate frequencies of New Radio (NR) cells that provide NSA coverage corresponding to a given Long Term Evolution (LTE) serving cell. The NSA coverage database may also indicate whether a system information block 1 (SIB1) has been previously received on a candidate frequency. The user equipment (UE) may perform measurement of candidate frequencies using the NSA coverage database, and may identify cases where a cell not providing NSA coverage has a same candidate frequency as a cell providing NSA coverage using the indication of whether SIB1 has been previously received on a candidate frequency.

Abstract: Methods, systems, and devices for wireless communications are described. In a wireless communications system, a user equipment (UE) may be scheduled to perform a first measurement or paging activity associated with a target cell operating according to a first target cell configuration that is different from a serving cell operating according to a first serving cell configuration of the UE. In some cases, the UE may determine that the UE has performed a previous measurement or paging activity associated with the target cell while being served by the serving cell, the cells operating according to previous cell configurations. The UE may compare at least one of the first and previous target cell configurations or the first and previous serving cell configurations, and may perform the first measurement or paging activity using a script, where the script is either reused or rebuilt based on comparing the cell configurations.

Abstract: Provided herein are compounds that modulate the activity of melanoma inhibitor of apoptosis (ML-IAP) protein, compositions comprising the compounds, and methods of using the compounds and compositions comprising the compounds.

Abstract: A harvesting assembly for harvesting a crop includes a frame, a cutting knife configured to cut crop, a feed drum, a draper assembly, a first auger assembly, and a second auger assembly. The draper assembly and the auger assemblies are configured to move the cut crop toward the feed drum. The auger assemblies each include a first auger, a second auger, and a mounting unit coupled to the frame and coupled between the first auger and the second auger to support the first auger and the second auger during rotation of the augers.

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: An encapsulated LED engine including a circuit board, one or more of LED arrays, each of the one or more LED arrays mounted on the circuit board, a pre-molded encapsulation layer positioned over and adhered to the circuit board, a frame positioned over the one or more LED arrays and secured to the circuit board, a metal sheet positioned between the pre-molded encapsulation layer and the frame, wherein the pre-molded encapsulation layer includes a plurality of lenses positioned over a plurality of LEDs on each of the one or more LED arrays, and wherein the metal sheet includes a plurality of apertures through which the plurality of lenses on the pre-molded encapsulation layer extend through.

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: System and computer-implemented method for migrating virtual computing instances from source computer networks to target computer networks uses a delta sum of a plurality of the data transfer metrics collected, during a current time window, from at least one of a source computer network and a target computer network during a replication process of copying data of a virtual computing instance from the source computer network to the target computer network. The delta sum is used to derive a current data transfer rate, which is used to compute a first estimation of transfer completion time using a moving average rate, and to compute a second estimation of transfer completion time using a weighted moving average rate with weights defined by an alpha value. The alpha value is selectively adjusted for a subsequent estimation of transfer completion time using divergence of the first and second estimations of transfer completion time.

Abstract: Present disclosure relates to a method and a user equipment (UE) for enhancing multimodal input content. The UE obtains text-blocks associated with multimodal input and determines a plurality of features for each of the text-blocks using a natural language processing (NLP) model and a neural network (NN) model. Further, the UE identifies usage pattern of the plurality of features based on historic data associated with the usage of the plurality of features using NN model. Thereafter, the UE generates personalized text for each of the textblocks based on the plurality of features and usage pattern. The UE inserts personalized emoticons based on context of text-blocks and lingo of each word using user lingo database. Thus, the UE eliminates manual correction of texts and enhances the readability of message/text entered by user.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may establish a communication connection with a serving cell associated with a first discontinuous reception (DRX) cycle configuration, determine, based at least in part on at least one of a first on duration of a first DRX cycle indicated by the first DRX cycle configuration or a type of traffic of one or more communications received during the first DRX cycle, an autonomous measurement gap associated with a neighboring cell, and perform a measurement of the neighboring cell during the autonomous measurement gap. Numerous other aspects are provided.

Abstract: A steering wheel includes a steering wheel body, an airbag module, and a damper unit-4 that connects the steering wheel body and the airbag module-3. The airbag module is mounted to the steering wheel body via the damper unit facing in a Z-axis first direction that is an example of a first direction. The damper unit-4 is configured to apply a force on the airbag module in a state where the airbag module is mounted on the steering wheel body in a direction of pushing up the airbag module in a direction that intersects with the Z-axis first direction.

Abstract: A system and method of performing deep cell body segmentation on a biological sample is provided. The method includes receiving a first and a second stained image. The first image is processed using a trained machine learned model that outputs locations of a plurality of cell nuclei in the first stained image. Seed points are then determined based on the locations of the plurality of cell nuclei. The second image is then processed using the seed points to determine a plurality of cell membranes using a watershed segmentation. The second image is then post-processed and an output image is produced. The output image is then analyzed and gene sequencing is performed.

Abstract: A method for intelligently reading displayed contents by an electronic device is provided. The method includes obtaining a screen representation based on a plurality of contents displayed on a screen of the electronic device. The method includes extracting a plurality of insights comprising at least one of intent, importance, emotion, sound representation and information sequence of the plurality of contents from the plurality of contents based on the screen representation. The method includes generating audio emulating the extracted plurality of insights.

Abstract: An imaging system includes a microscope to generate magnified images of regions of interest of a tissue sample, a camera to capture and store the magnified images, and a controller. The controller is configured to, for each magnification level in a sequence of increasing magnification levels, image one or more regions of interest of the tissue sample at the current magnification level. For each region of interest, data is generated defining one or more refined regions of interest based on the magnified image of the region of interest of the tissue sample at the current magnification level. Each refined region of interest corresponds to a proper subset of the tissue sample, and the refined regions of interest of the tissue sample provide the regions of interest to be imaged at a next magnification level from the sequence of increasing magnification levels.

Abstract: In various examples, hybrid models for determining intents in conversational AI systems and applications are disclosed. Systems and methods are disclosed that use a machine learning model(s) and a data file(s) that associates intents with one another (e.g., using a tree-like structure) in order to determine a final intent associated with text. For example, the text may initially be processed using the machine learning model(s) (e.g., a first machine learning model) in order to determine a first intent associated with the text. The data file(s) may then be used to determine information (e.g., anchors) for one or more second intents (e.g., one or more sub-intents) that are related to the first intent. The text and the information may then be processed using the machine learning model(s) (e.g., a second machine learning model) to determine a second intent, from the one or more second intents, that is associated with the text.