Abstract: The present disclosure generally relates to a primary load management system configured to execute machine learning and artificial intelligence techniques to generate predictions of access-right requests that are or are likely to be invalid before the access-right requests are processed for assignment to users or user devices. The present disclosure relates to systems and methods that collect a data set representing characteristics of user devices as the user devices interact with various systems of the primary load management system and train a machine-learning model to predict invalid access-right requests using the collected data set. The collected data set may include a log line that represents each user device, and each log line may be labeled based on an invalidity evaluation. New access-right requests can be processed using the trained machine-learning model to determine whether or not to assign access rights in response to the access-right request.

Abstract: The present disclosure generally relates to a primary load management system configured to execute machine learning and artificial intelligence techniques to generate predictions of access-right requests that are or are likely to be invalid before the access-right requests are processed for assignment to users or user devices. The present disclosure relates to systems and methods that collect a data set representing characteristics of user devices as the user devices interact with various systems of the primary load management system and train a machine-learning model to predict invalid access-right requests using the collected data set. The collected data set may include a log line that represents each user device, and each log line may be labeled based on an invalidity evaluation. New access-right requests can be processed using the trained machine-learning model to determine whether or not to assign access rights in response to the access-right request.

Abstract: The present disclosure generally relates to a primary load management system configured to execute machine learning and artificial intelligence techniques to generate predictions of access-right requests that are or are likely to be invalid before the access-right requests are processed for assignment to users or user devices. The present disclosure relates to systems and methods that collect a data set representing characteristics of user devices as the user devices interact with various systems of the primary load management system and train a machine-learning model to predict invalid access-right requests using the collected data set. The collected data set may include a log line that represents each user device, and each log line may be labeled based on an invalidity evaluation. New access-right requests can be processed using the trained machine-learning model to determine whether or not to assign access rights in response to the access-right request.

Abstract: The present disclosure generally relates to a primary load management system configured to execute machine learning and artificial intelligence techniques to generate predictions of access-right requests that are or are likely to be invalid before the access-right requests are processed for assignment to users or user devices. The present disclosure relates to systems and methods that collect a data set representing characteristics of user devices as the user devices interact with various systems of the primary load management system and train a machine-learning model to predict invalid access-right requests using the collected data set. The collected data set may include a log line that represents each user device, and each log line may be labeled based on an invalidity evaluation. New access-right requests can be processed using the trained machine-learning model to determine whether or not to assign access rights in response to the access-right request.

Abstract: The invention is sensor pod assembly for mounting sensor systems for an aircraft, the aircraft having a fuselage with a longitudinal axis. In detail the sensor pod includes an elongated pod having front and rear ends, the pod removable mountable to the underside of the fuselage of the aircraft aligned with the longitudinal axis. A mounting system is includes to mount at least one container capable of being pressurized in a plurality of locations within the pod along the longitudinal axis, the at least one container including means to mount the sensor systems there within.

Abstract: A fuel dispenser nozzle has a spout assembly for delivery of fuel into a vehicle fill pipe constructed to limit post-fueling dripping to an average of less than about three drops of fuel per fueling event.

Abstract: A biomedical electrode for transmitting and/or receiving electrical signals to/from a patient is disclosed. The electrode includes a metallized fabric, wherein metallization of the fabric is connected at least on a top side and a bottom side of the fabric so as to uniformly transmit or receive the electrical signals. A conductive gel adhesive in contact with the metallized fabric. The electrode can be fabricated using a continuous web process, thereby reducing the cost of manufacturing the electrode.

Abstract: A biomedical electrode for transmitting and/or receiving electrical signals to/from a patient is disclosed. The electrode includes a metallized fabric, wherein metallization of the fabric is connected at least on a top side and a bottom side of the fabric so as to uniformly transmit or receive the electrical signals. A conductive gel adhesive in contact with the metallized fabric. The electrode can be fabricated using a continuous web process, thereby reducing the cost of manufacturing the electrode.

Abstract: To remove and/or prevent contamination of a probe, at least a portion of the probe is positioned in a chamber having an inlet passage and an outlet passage, with a distal end of the probe extending through the outlet passage and terminating on a side thereof opposite the chamber. A gas is caused to flow through the inlet passage into the chamber and out the outlet passage, thereby modifying an environment surrounding the distal end of the probe. The gas may be heated prior to injection.

Abstract: A sheet resistance test of a wafer or sample can be performed by causing a plurality of spaced contacts, each of which either does not form oxides thereon or which forms conductive oxides thereon, to touch a surface of the wafer without penetrating or damaging the surface. An electrical stimulus is then applied to the wafer via one or more of the contacts and the electrical response of the semiconducting material to the electrical stimulus is detected via one or more of the contacts. At least one electrical property of the wafer can be determined from the measured response and the applied electrical stimulus.

Abstract: A method of processing a semiconductor wafer includes utilizing a heated gas to heat at least one part of a semiconductor wafer by convection whereupon at least one contaminant is desorbed therefrom. A stream of cooling gas is caused to pass over the one part of the semiconductor wafer in the absence of heated gas to cool the one part of the semiconductor wafer. A metrology tool is then caused to measure at least one part of the semiconductor wafer to determine at least one characteristic thereof.

Abstract: A system and method for reporting, directly to a customer, conditions of telecommunications services to which the customer subscribes. The system includes a server for collecting fault information from the telecommunications network management system and a customer workstation for viewing the information. The customer can use the workstation to define a view of the data he wishes to receive. The server builds reports using the view, and provides the reports to the customer.

Abstract: A fiber reinforcement fabric contains a metal susceptor strip paired with each warp thread and woven with the weave thread to produce a thermoplastic welding susceptor of separated and electrically isolated, longitudinal metal strips and fiber reinforcement in the weld.