Abstract: A highly efficient and effective process for destroying organic contaminants in wastewater streams, without the need for supercritical oxidation conditions, is provided.

Abstract: The present disclosure is directed to an adjustable mounting assembly for a fan motor, having a frame defining a space configured to receive the fan motor, a fixed nut coupled to the frame, and a bolt extending through the fixed nut and into the space. The frame is configured to mount to a heating, ventilation, and/or air conditioning (HVAC) unit, and the bolt is adjustable relative to the fixed nut to adjust a position of the fan motor within the space.

Abstract: Digital mirror systems for vehicles and methods of operating the same are disclosed.

Abstract: A method, computer system, and computer program product are provided. A set of classifiers are applied to metric definitions of an electronic contract between computing devices of a service provider and a service consumer. Each classifier includes a selector pattern and a set of variable declarations. Performance data of the service provider computing device are filtered according to the selector pattern of the each classifier. One or more algebraic expressions of the metric definitions are evaluated in accordance with the each classifier and the filtered performance data to determine compliance of the service provider computing device with the electronic contract. Evaluation results indicating whether the service provider computing device is in compliance with the electronic contract are captured and reported.

Abstract: An electronic system is typically configured for crawling into at least one code repository comprising one or more codes that are associated with one or more applications that are in development phase, wherein the one or more applications are associated with disparate frameworks, identifying, via a machine learning model, one or more dependencies associated with the one or more codes based on crawling into the at least one code repository, determining that the one or more dependencies are present in an internal library repository, generate dependency libraries by downloading the one or more dependencies from the internal library repository, and providing the one or more dependencies downloaded from the internal library repository for building the one or more codes for deployment, wherein the one or more dependencies are utilized for building dependency libraries associated with codes that require same dependencies as that of the one or more codes.

Abstract: Methods, systems, and computer-readable media for live migration for highly available data stores are disclosed. Migration of a data set from a first data store to a second data store is initiated and comprises a backfill of records to the second data store. During a window of time before the migration is complete, a read request for a first record is received. A response representing an authoritative version of the first record is generated using a copy of the first record in the first data store and a copy of the first record in the second data store. A write request for a second record is received during the window of time. A lock is acquired for the second record, and the write request is performed using a copy of the second record in the first data store and a copy of the second record in the second data store.

Abstract: A transport system in a structure includes a car and a plurality of motor modules. The car is constructed and arranged to move along a lane generally defined at least in-part by the structure. The plurality of motor modules are distributed along the lane and are constructed and arranged to propel the car. Each one of the pluralities of motor modules include an embedded power module.

Abstract: In some embodiments, a camera actuator includes an actuator base, an autofocus voice coil motor, and an optical image stabilization voice coil motor. In some embodiments, the autofocus voice coil motor includes a lens carrier mounting attachment moveably mounted to the actuator base, a plurality of shared magnets mounted to the base, and an autofocus coil fixedly mounted to the lens carrier mounting attachment for producing forces for moving a lens carrier in a direction of an optical axis of one or more lenses of the lens carrier. In some embodiments, the optical image stabilization voice coil motor includes an image sensor carrier moveably mounted to the actuator base, and optical image stabilization coils moveably mounted to the image sensor carrier within the magnetic fields of the shared magnets, for producing forces for moving the image sensor carrier in a plurality of directions orthogonal to the optical axis.

Abstract: Various embodiments include a camera having one or more bumper arrangements to cushion lateral movement of one or more camera components. In some embodiments, the bumper arrangement(s) may cushion lateral movement of a moveable platform as the moveable platform approaches a stationary structure. According to some embodiments, the bumper arrangement(s) may include one or more bumper features attached to (and/or defined by) the moveable platform and/or the stationary structure.

Abstract: A method for geometrically correcting a distorted input frame and generating an undistorted output frame includes capturing and storing an input frame in an external memory, allocating an output frame with an output frame size and dividing the output frame into output blocks, computing a size of the input blocks in the input image corresponding to each output blocks, checking if the size of the input blocks is less than the size of the internal memory and if not dividing until the required input block size of divided sub blocks is less than the size of the internal memory, programming an apparatus with input parameters, fetching the input blocks into an internal memory, processing each of the divided sub blocks sequentially and processing the next output block in step until all the output blocks are processed; and composing the output frame for each of the blocks in the output frame.

Abstract: A turbomachine includes a spool and a turbine section including a turbine rear frame, a turbine, and a support member. The turbine includes a first plurality of turbine rotor blades and a second plurality of turbine rotor blades, the first plurality of turbine rotor blades and second plurality of turbine rotor blades alternatingly spaced along the axial direction and rotatable with one another. The support member extends between the first plurality of turbine rotor blades and the spool and couples the first plurality of turbine rotor blades to the spool. The turbomachine also includes a bearing assembly including a bearing, the bearing rotatably supporting the support member and supported by the turbine rear frame, the bearing spaced apart from the spool along the radial direction.

Abstract: A frac plug includes a body having an outer surface, a first pocket in the outer surface, and a second pocket in the outer surface. In addition, the frac plug includes a first sensor removably disposed in the first pocket. The first sensor is configured to measure and record a plurality of pressures. The frac plug also includes a second sensor removably disposed in the second pocket. The second sensor is configured to measure and record a plurality of pressures. Further, the frac plug includes a first cap releasably coupled to the body and closing the first pocket. Moreover, the frac plug includes a second cap releasably coupled to the body and closing the second pocket. The first cap includes a port and the second cap includes a port.

Abstract: In an approach to deriving highly accurate models, one or more computer processors train a set of machine learning models utilizing a training set and a deep learning algorithm; generate one or more feedback data sets for each model in the set of trained models; rank each model in the set of trained models based on the generated feedback data sets; dynamically adjust one or more thresholds, that initiate a retraining or deployment of one or more ranked models, based, at least in part, on one or more production environment requirements; responsive to exceeding one or more adjusted thresholds, automatically deploy one or more ranked models to one or more deployment environments based, at least in part, on the ranking of the one or more trained models; responsive to not exceeding one or more adjusted thresholds, retrain each model in the set of trained models.

Abstract: One embodiment provides a method, including: receiving, from a client, (i) a task of annotating information, (ii) a set of instructions for performing the task, and (iii) client annotations for a subset of the information within the task; assigning the subset to a plurality of annotators; obtaining (i) annotator annotations for the subset and (ii) a response time for providing the annotator annotation for each piece of information within the subset; identifying improvements to the set of instructions by (i) comparing the annotator annotations to the client annotations and (ii) identifying discrepancies made by the annotators in view of the response time; and generating a new set of instructions, wherein the generating comprises (i) identifying at least one feature of the information that distinguishes correctly annotated information from incorrectly annotated information and (ii) generating an instruction from the at least one feature.

Abstract: Certain aspects of the present disclosure provide techniques for providing a diagnostics framework for large scale hierarchical time series forecasting models.

Abstract: Techniques are generally described for object detection in image data. First image data comprising a three-dimensional model representing an object may be received. First background image data comprising a first plurality of pixel values may be received. A first feature vector representing the three-dimensional model may be generated. A second feature vector representing the first plurality of pixel values of the first background image data may be generated. A first machine learning model may generate a transformed representation of the three-dimensional model using the first feature vector. First foreground image data comprising a two-dimensional representation of the transformed representation of the three-dimensional model may be generated. A frame of composite image data may be generated by combining the first foreground image data with the first background image data.

Abstract: A piezoelectric material includes a first material layer including a polycrystalline lead zinc niobate-lead zirconate titanate material arranged in a 001 crystal direction; and a second material layer including a mono-crystalline material having a 001 crystal face, wherein the lead zinc niobate-lead zirconate titanate and the mono-crystalline material are different. Also a piezoelectric device including the piezoelectric material.

Abstract: A system on a chip (SoC) includes a digital signal processor (DSP) and a graphics processing unit (GPU) coupled to the DSP. The DSP is configured to receive a stream of received depth measurements and generate a virtual bowl surface based on the stream of received depth measurements. The DSP is also configured to generate a bowl to physical camera mapping based on the virtual bowl surface. The GPU is configured to receive a first texture and receive a second texture. The GPU is also configured to perform physical camera to virtual camera transformation on the first texture and on the second texture, based on the bowl to physical camera mapping, to generate an output image.

Abstract: A method of de-mosaicing pixel data from an image processor includes generating a pixel block that includes a plurality of image pixels. The method also includes determining a first image gradient between a first set of pixels of the pixel block and a second image gradient between a second set of pixels of the pixel block. The method also includes determining a first adaptive threshold value based on intensity of a third set of pixels of the pixel block. The pixels of the third set of pixels are adjacent to one another. The method also includes filtering the pixel block in a vertical, horizontal, or neutral direction based on the first and second image gradients and the first adaptive threshold value utilizing a plurality of FIR filters to generate a plurality of component images.