Abstract: The disclosure relates to bioreactors, for example for biological treatment and, more specifically to bioreactor insert apparatus including biofilms and related methods. The bioreactor insert apparatus provides a means for circulation of reaction medium within the bioreactor, a biofilm support, and biological treatment of an inlet feed to die reactor/insert apparatus. The bioreactor insert apparatus has a high relative surface area for biofilm attachment and is capable of generating complex flow patterns and increasing treatment efficiency/biological conversion activity in a biologically-active reactor. The high surface area structure incorporates multiple biofilm support structures such as meshes at inlet and outlet portions of the structure. The biofilm support structures and biofilms thereon can increase overall reaction rate of the bioreactor and/or perform some solid/liquid separation in the treatment of the wastewater or other influent.

Abstract: Illustrative examples of forming and using suitably adapted material in an additive manufacturing process includes operations of: exposing a first polymer sheet to a first plasma, such that an amine-functionalized sheet surface is formed; exposing a second polymer sheet to a second plasma, such that an epoxide-functionalized sheet surface is formed; and combining the amine-functionalized sheet and the epoxide-functionalized sheet, such that the amine-functionalized sheet surface contacts the epoxide-functionalized sheet surface. The workpiece is subsequently heated to form a structure, where heating of the workpiece causes covalent chemical bonds to form between the plasma-treated first polymer sheet and the plasma-treaded second polymer sheet.

Abstract: Systems and methods for determining the gaze direction of a subject and projecting this gaze direction onto specific regions of an arbitrary three-dimensional geometry. In an exemplary embodiment, gaze direction may be determined by a regression-based machine learning model. The determined gaze direction is then projected onto a three-dimensional map or set of surfaces that may represent any desired object or system. Maps may represent any three-dimensional layout or geometry, whether actual or virtual. Gaze vectors can thus be used to determine the object of gaze within any environment. Systems can also readily and efficiently adapt for use in different environments by retrieving a different set of surfaces or regions for each environment.

Abstract: Aspects described herein may relate to a transaction exchange platform using a streaming data platform (SDP) and microservices to process transactions according to review and approval workflows. The transaction exchange platform may receive transactions from origination sources, which may be added to the SDP as transaction objects. As the transactions are received, the transactions may be analyzed to detect duplicate transactions and/or errors in the transactions. The transaction exchange platform may take steps to remediate transactions that are recognized as duplicates or predicted to generate one or more errors. Similarly, the transaction exchange platform may take steps to remediate transactions that are rejected by a clearinghouse.

Abstract: Aspects described herein may relate to a transaction exchange platform using a streaming data platform (SDP) and microservices to process transactions according to review and approval workflows. The transaction exchange platform may receive transactions from origination sources, which may be added to the SDP as transaction objects. As the transactions are received, the transactions may be analyzed to detect duplicate transactions and/or errors in the transactions. The transaction exchange platform may take steps to remediate transactions that are recognized as duplicates or predicted to generate one or more errors. Similarly, the transaction exchange platform may take steps to remediate transactions that are rejected by a clearinghouse.

Abstract: An address fault detection system includes write and read access circuits and a fault management circuit. The write access circuit receives an address and reference data for a write operation associated with a memory and parity data generated based on the reference data, and writes the reference data and the parity data to first and second memory blocks of the memory, respectively. The read access circuit receives the same address for a read operation associated with the memory and reads another reference data and another parity data from the first and second memory blocks, respectively. The fault management circuit compares the read parity data with parity data generated based on the read reference data to detect an address fault in the memory. The written and read reference data are different when the address fault is detected, and same when the address fault is not detected.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method performed by a source edge enabler server for selecting a target edge application server in an edge computing system for a user equipment (UE) is provided.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Accordingly, embodiments herein disclose a method for providing service(s) to an edge application server (EAS) in an edge data network (EDN). The method includes receiving, by an EES, an EAS usage indication from an edge enabler client (EEC) of a user equipment (UE), where the EAS usage indication comprises at least one parameter.

Abstract: A method for treating additive manufacturing powder particles is provided. The method includes exposing the additive manufacturing powder particles to plasma radiation, where the plasma radiation forms functional groups, on surfaces of the additive manufacturing powder particles, having molecular bonds that vibrate in response to irradiation by laser energy of an additive manufacturing process, and moving the additive manufacturing powder particles to expose the additive manufacturing powder particles to the plasma radiation.

Abstract: Systems and methods for data normalization are disclosed. The disclosed systems and methods train one or more machine learning model based on a plurality of annotated records and apply these trained models to new or updated records. The models are configured to analyze the records and generate classifications or concepts from the records and corresponding confidence scores. If the confidence scores exceed a threshold, the corresponding classifications or concepts are appended to the appropriate record.

Abstract: In some examples, a system receives information traffic communicated over a network by or with a system under test (SUT), and analyzes the information traffic to identify a potential attack point in the SUT and a technology used by the SUT. The system determines a collection of penetration tests for testing a stack comprising a plurality of layers associated with the SUT based on the identified potential attack point and the identified technology, and further based on a dynamic knowledge base that includes information relating to vulnerabilities and threats.

Abstract: Techniques performed by a data processing system for analyzing training data for a machine learning model and identifying outliers in the training data herein include obtaining training data for the model from a memory of the data processing system; analyzing the training data using a Siamese Neural Network to determine within-label similarities and cross-label similarities associated with a plurality of data elements within the training data, the within-label representing similarities between a respective data element and a first set of data elements similarly labeled in the training data, the cross-label similarities representing similarities between the respective data element and a second set of data elements dissimilarly labeled in the training data; identifying outlier data elements in the plurality of data elements based on the within-label and cross-label similarities; and processing the training data comprising the outlier data elements.

Abstract: Systems, methods, and devices for recognizing a user are disclosed. A speech-controlled device captures a spoken utterance, and sends audio data corresponding thereto to a server. The server determines content sources storing or having access to content responsive to the spoken utterance. The server also determines multiple users associated with a profile of the speech-controlled device. Using the audio data, the server may determine user recognition data with respect to each user indicated in the speech-controlled device's profile. The server may also receive user recognition confidence threshold data from each of the content sources. The server may determine user recognition data associated that satisfies (i.e., meets or exceeds) a most stringent (i.e., highest) of the user recognition confidence threshold data. Thereafter, the server may send data indicating a user associated with the user recognition data to all of the content sources.

Abstract: Techniques performed by a data processing system for analyzing the impact of training data changes on a machine learning model herein include training a first instance of a machine learning model with a first set of training data; modifying the first set of training data to produce a second set of training data; training a second instance of the model with the second set of training data; comparing the first instance of the model to the second instance of the model to determine features that differ between the first instance and the second instance of the model; identifying a subset of historical data associated with the features that differ between the first instance and the second instance of the model; and scoring the subset of the historical data to produce a report identifying differences in the output of the first instance and the second instance of the machine learning model.

Abstract: An electronic control system provides selectable linear and pulse-width modulated (PWM) operation with reduced disruption when changing from PWM operation to linear operation. The system includes an output stage that has a push-pull driver coupled to the load, which may be a motor, a haptic device, or other device requiring current-mode control. The system also includes a pulse-width modulated (PWM) driver for providing pulse-width modulated drive signals to gates of the transistors of the output stage when a pulse-width modulated mode is selected, and a linear amplifier stage that provides a linear analog signal to the gates of the transistors when a linear mode is selected. A pre-charging circuit pre-charges the gates during a pre-charge cycle that is initiated when the operating mode changes from the PWM operating more to the linear operating mode.

Abstract: An implement head transportation includes an implement head, a traction unit, and a trailer. The traction unit is configured to receive and support the implement head for operation of the implement head. The trailer is configured to receive and support the implement head for transportation of the implement head between locations. The trailer includes a frame including information related to an implement placement location on the frame. The traction unit includes a controller operable to sense data from the trailer related to the implement placement location on the frame, and generate a guide signal. The guide signal guides the traction unit relative to the trailer to position the implement head on the implement placement location of the frame when transferring the implement head from the traction unit to the trailer.

Abstract: The disclosed technology provides a system and method for allocating resource blocks to a wireless device based on a power headroom of the wireless device as contained in a power headroom report (PHR) from the wireless device. The network allocates wireless devices with the highest power headroom (e.g., power headroom above a certain power threshold) with edge resource blocks, wireless devices with the lowest power headroom (e.g. power headroom below a certain power threshold) with inner resource blocks, and other wireless devices with outer resource blocks.

Abstract: The present disclosure describes methods, systems, and non-transitory computer-readable media for implementing a machine learning framework to generate a recommend digital assets from a digital image. For example, in one or more embodiments, the disclosed systems utilize a machine learning model to detect a shape, color, pattern, or other digital asset type from a digital image and then extract (and further modify) the detected asset type to create various different digital assets as recommendations. In some cases, the disclosed system utilizes the machine learning model to determine one or more digital asset classes associated with the digital image, generate preprocessed digital assets from the digital image for those digital asset classes, and generate production-ready digital assets from the preprocessed digital assets. Further, in some instances, the disclosed systems provide one or more of the digital assets via recommendations based on asset scores determined via the generation process.

Abstract: Responsive to a configuration event, a controller instance generates, according to a current version of a configuration interface between the controller instance and a data instance, a configuration message. The configuration message is obtained, via message service, by remote data instances. The remote data instances attempt to process the configuration message, according to whichever version of the configuration interface the respective data instances are using. Appropriate acknowledgements (based on whether the remote data instances could fully process the configuration message or not) are generated and returned to the controller instance that marks a record for the configuration message as complete for the remote instance or marks the record for the configuration message to be re-sent for the remote instance. After waiting some period of time to allow data instances with out-of-date versions to update, a configuration message update cycle re-sends the message to the appropriate remote data instances.

Abstract: A method of commissioning a plurality of controllers includes identifying a plurality of controllers that are operably coupled to a network in a building management system. Each of the plurality of controllers are configured to control one or more of a plurality of building management system components within a building management system. A first controller is selected as a source controller. Two or more of the remaining controllers are selected as target controllers. A synch operation is initiated that synchs the control logic of the source controller with each of the two or more target controllers over the network, resulting in each of the two or more target controllers having the control logic of the source controller. The source controller and the two or more target controllers are subsequently used to control one or more respective building management system components of the building management system.