Abstract: Various embodiments described herein relate to predicting potential incident event structures based on multi-model analysis. In this regard, a potential incident event with respect to aggregated data associated with one or more data sources is identified. In response to the potential incident event, one or more potential incident event data structures are identified based at least in part on the aggregated data. Additionally, in response to the potential incident event, one or more actions are performed based at least in part on the one or more potential incident event data structures.

Abstract: An aluminum or copper alloy sputtering chamber includes a front surface, a back surface opposite the front surface, and a sputter trap formed on at least a portion of the front surface A coating of titanium particles is formed on the sputter trap.

Abstract: Methods, apparatuses, and computer program products are disclosed for determining a holding pattern. An example method includes receiving an estimated time of clearance and holding pattern instructions for an aircraft chartered for holding, receiving flight information and aircraft state information associated with the aircraft, deriving a holding time estimate from the estimated time of clearance, the flight information and aircraft state information, and computing holding pattern parameters placing the aircraft on a holding inbound segment prior to the estimated time of clearance based at least in part on the holding time estimate. The method further includes transmitting the holding pattern parameters to a computing device.

Abstract: A protective housing structure for a heating, ventilation, and air conditioning (HVAC) system comprises a first end and a second end with a centerline extending there between. The protecting housing structure includes a cover section that is located between the first end and second end. The cover section comprises a dome-shaped top panel that is rigidly attached to a first sidewall and a second sidewall.

Abstract: The disclosure provides a method and system of improvement in the real-time operation of a terminal station in an industrial facility using a machine learning-based self-adaptive system comprising obtaining real-time operations data and historical data stored in a local database or at a cloud-storage. The data relates to input parameters of the terminal station. The method includes inputting the input parameter to a machine learning configurable module of the machine learning-based self-adaptive system and analyzing the input parameter using dynamic machine learning models and algorithms to identify patterns to each of the input parameters. The method further includes evaluating the identified pattern against the real-time operations data obtained from the terminal station and predicting at least one output parameter based on the input parameter and the identified pattern against the real-time operations. Based on the prediction, adjusting the output parameter of the real-time operations data.

Abstract: Systems and methods for GNSS anti-jamming using interference cancellation are described herein. In certain embodiments, a system includes an antenna that receives signals, wherein the signals comprise a weak portion associated with one or more GNSS satellites and a strong interference portion from an interfering signal source. The system also includes a GNSS anti-jammer. The GNSS anti-jammer includes an interference isolator that receives the received signals and provides an estimated strong interference portion as an output. The GNSS anti-jammer also includes a summer that subtracts the estimated strong interference portion from the received signals to create a summed signal. Further, the GNSS anti-jammer includes a local noise remover that removes noise generated by the interference isolator from the summed signal, wherein the local noise remover is a processor that digitally removes the noise. Further, the system includes a GNSS receiver coupled to receive the summed signal from the processor.

Abstract: Methods, apparatuses and systems for calibrating gas detectors are disclosed. An example calibration apparatus may have a gas supply element configured to provide a background gaseous substance within at least a portion of the calibration apparatus, a nebulizing element configured to generate the testing gaseous substance by transforming a testing solution in conjunction with the background gaseous substance, a pressure control element configured to regulate airflow in order to maintain a constant air pressure within the at least a portion of the calibration apparatus, and a controller component in electronic communication with the gas supply element, the nebulizing element and the pressure control element.

Abstract: Hydrostatic test tool 100 comprises frame 161; pressurizer 120; connection system 110; control system 130; data communicator 140; power supply 150; device handler 162; and buoyancy unit 163. Hydrostatic test tool 100 can be used to perform an in situ seal test of subsea equipment connectors with limited support from external systems, allowing optimization of subsea operations by not requiring constant support from underwater vehicle 5, which could be used to perform other tasks while the test is being carried out, optimizing the total time of support vessel 6 and reducing operational cost. Hydrostatic test tool 100 typically requires interfacing with underwater vehicle 5, e.g., an ROV or AUV, only for deployment/installation and data communication, if at all.

Abstract: A system includes a top scanner head configured over a coated substrate. An x-ray sensor and a second x-ray sensor scan the coated substrate. At least one of the x-ray sensor and second x-ray sensor is tuned to an energy level below an absorption peak and at least one of the x-ray sensor and second x-ray sensor is tuned to an energy level above the absorption peak. The x-ray sensor and second x-ray sensor scan a same sheet spot on the coated substrate. A bottom scanner head is configured underneath the coated substrate to provide a location for a detection of x-rays for the x-ray sensor and the second x-ray sensor.

Abstract: A novel maize variety designated X80P537 and seed, plants and plant parts thereof are produced by crossing inbred maize varieties. Methods for producing a maize plant by crossing hybrid maize variety X80P537 with another maize plant are disclosed. Methods for producing a maize plant containing in its genetic material one or more traits introgressed into X80P537 through backcrossing or genetic transformation, and to the maize seed, plant and plant part produced thereby are described. Maize variety X80P537, the seed, the plant produced from the seed, and variants, mutants, and minor modifications of maize variety X80P537 are provided. Methods for producing maize varieties derived from maize variety X80P537 and methods of using maize variety X80P537 are disclosed.

Abstract: The present invention relates generally to immunization and immunotherapy for the treatment or prevention of HIV. In particular, the methods relate to in vivo and ex vivo enrichment of HIV-specific CD4 T cells. In certain embodiments, the disclosed compositions and methods can incorporate therapy in order to further enhance the HIV-specific CD4 T cells.

Abstract: Devices, systems, and methods for event detection using distributed event devices are described herein. In some examples, one or more embodiments include a first event device and a second event device, where the first event device is configured to detect an event in an area and wirelessly transmit a notification of the detected event and location information associated with the first event device to the second event device, and where the second event device is configured to receive the notification of the detected event and the location information from the first event device, determine whether the location information matches a location included in a database in response to receiving the detected event, and perform an activation action responsive to determining the location information matches a location included in the database.

Abstract: Systems and methods for embedding electronics in a housing using additive manufacturing are provided. In certain embodiments, a system includes a housing made using an additive manufacturing process. The system also includes at least one electronics assembly that is embedded into the housing during the additive manufacturing process, wherein one or more electronic components on the at least one electronic assembly are isolated from the material used to form the housing. Further, the system includes an electrical connector coupled to at least one electronic component in the one or more electronic components, wherein the electrical connector provides an electrical connection between the at least one electronic assembly and system electronics that are outside the housing, wherein the electronic assembly is environmentally sealed within the housing from the environment outside the housing.

Abstract: A method for estimating a number of people currently in a region of interest include analyzing a video stream to detect each of a plurality of people within the region of interest as One or more neighbor pairs are identified from among a plurality of possible pairs of the plurality of people within the region of interest. The detected plurality of people may be clustered into one or more clusters based at least in part on the identified one or more neighboring pairs. An estimated number of people in each of the one or more clusters is determined and a representation of the estimated number of people in each of one or more of the clusters is displayed on a display.

Abstract: The present disclosure relates to techniques for interacting with an electronic device. More specifically, the present disclosure relates to initiating action(s) using an interface configured to control operation of IoT devices. A network device may be detected. Information for the network may be received. Capabilities of the network may be determined. An interface module may facilitate display of a network device interface. A control object may facilitate control of the network device.

Abstract: A Bayesian multilevel whole-genome regression model is disclosed and its prediction performance compared to that of the popular BayesA model applied to each population separately (no pooling) and to the joined data set (complete pooling). For small population sizes (e.g., <50), partial pooling increased prediction accuracy over no or complete pooling for populations represented in the estimation set. Partial pooling with multilevel models can make optimal use of information in multi-population estimation sets.

Abstract: Devices, systems, and methods for providing predictive analytics of fire systems are described herein. One fire system maintenance system, includes fire system detectors, a fire system control panel, and a gateway device positioned within the facility and in communication with at least one of the fire system control panel or fire system detectors, the gateway having instructions to: collect fire system device health data associated with one or more fire or smoke detector devices and to send this fire system device health data to a remote device; the remote device having instructions to: analyze the collected fire system device health data to predict if the data contains any anomalies or deviations from an expected behavior; and a fire system maintenance solution application that identifies a nearest scheduled maintenance visit and associates a service item with the scheduled maintenance visit.

Abstract: A system is provided that includes a processor configured to receive an input of a user in response to a display of a text segment generated by a decode operation of an audio segment wherein the processor is configured to if the user determines by viewing a display containing one or more text segments that the one or more text segments include an improper splitting of text segments, perform a merge action in response to a user input to merge the one or more text segments into a single text segment for display; and if the user determines by viewing a display containing the at least one single text segment that the at least one single text segment should be split, perform a split action in response to the user input to split the at least one single text segment into the one or more text segments.