Abstract: An autonomous light system may comprise a reading light assembly, an object detection device; and a controller. The reading light assembly may include a light source and an actuation system. The controller may be operably coupled to the light source and the object detection device. The controller may include an object detection module and may be configured to receive object data from the object detection device, compare the object data against an object database, identify an object based on the comparison of the object data to the object database, send a first command to at least one of the light source and the actuation system.

Abstract: Methods and systems for maintaining a healthy building. In one example, an access card reader for controlling access to a secure area may comprise a card reader for reading an access card identifier from an access card presented by a user, a touchless thermal sensor for sensing a skin temperature of the user, a memory, and a controller operatively coupled to the card reader, the touchless thermal sensor and the memory. In response to a user presenting an access card to the card reader, the controller may be configured to store in the memory the access card identifier read by the card reader along with a corresponding skin temperature of the user. In another example, a system may be configured to perform contact tracing when an occupant has been identified as displaying signs of an illness.

Abstract: A method of training a diagnostic model for identifying a fault condition in a vehicle system includes receiving a plurality of vehicle fault condition data sets, each being associated with a known fault condition of a vehicle system. The vehicle fault condition data sets each include audio data representing an audio signal generated by a microphone during operation of the vehicle system having the known fault condition; and operating data indicating an operating state of the vehicle system. Each vehicle fault condition data set is processed. A frequency domain representation of the audio signal is generated and analysed to identify at least one fault indicator component corresponding to the known fault condition. The diagnostic model is trained to identify the at least one fault condition in dependence on the identification of the at least one fault indicator component in each vehicle fault condition data set.

Abstract: A processor may receive component data associated with the machine. The component data may be associated one or more machine auxiliary components configured within one or more environments. The processor may generate a digital twin associated with the machine. The digital twin associated with the machine area may be based, at least in part, on the component data. The processor may simulate the digital twin of the machine. The processor may generate, responsive to simulating the digital twin associated with the machine, the optimized assembly plan for the machine.

Abstract: A method includes using templates to identify constraints and terms of at least one objective function associated with at least a portion of one or more processing targets At least one of the templates is based on a resource-task network (RTN) representation of resource nodes and task nodes associated with at least the portion of the one or more processing targets. The method also includes generating one or more optimization problems, where the constraints and the at least one objective function represent at least part of the one or more optimization problems. The method further includes generating at least one candidate production schedule for at least the portion of the one or more processing targets using the one or more optimization problems.

Abstract: A surveillance monitoring system may use a camera to detect any viewing faces visible within viewing sight of a monitor and determine whether the detected viewing faces belong to authorized individuals who are authorized to view video surveillance footage on the monitor or if any of the detected viewing faces belong to individuals who are not authorized to view video surveillance footage on the monitor. When the detected viewing faces belong only to authorized individuals, the surveillance monitoring system continues to display the video surveillance footage that includes identifiable faces without anonymizing the identifiable faces. When the detected viewing faces also include unauthorized individuals, the surveillance monitoring system may continue to display the video surveillance footage, but the surveillance monitoring system may automatically anonymize one or more of the identifiable faces seen in the video surveillance footage.

Abstract: Automated visual docking guidance in and near a bridge area is described herein. One method for aircraft detection, including capturing camera image data of a new aircraft; generating a segmented aircraft mask; segmenting the image data of the new aircraft into body part segmentation data; classifying the body part segmentation data into a plurality of classes; analyzing each class of body part segmentation data to predict an aircraft type for the new aircraft; determining the aircraft type of the new aircraft based on the prediction analysis; and synthetic video generation of new aircraft for generating aircraft specific docking guidance for the new aircraft based on the determined aircraft type.

Abstract: Unoccluded visualization of Anatomy in Volumetric Data. Embodiments disclosed herein relate to medical imaging systems, and more particularly to medical visualization systems, which can be used for visualizing anatomy. Embodiments herein disclose methods and systems for enabling unoccluded visualization of anatomy of interest in volumetric data. Embodiments herein disclose 3D visualization techniques for visualization of deep seated anatomy with no user interactions, while preserving depth continuity with surrounding(s) and with minimal distortion for improved clinical assessment.

Abstract: Disclosed are various embodiments for monitoring services in a multi-service system and detecting deviations in health metrics and/or business metrics of one or more of the services. In response to detecting a metric deviation for a given service, an enhanced message is generated detailing specific data associated with the detected deviation. The enhanced message is generated and transmitted to a recipient address associated with a services that may be affected by the deviation. An action service monitoring messages being received by a domain associated with the recipient address analyzes the information included in the message content. According to the analysis of the message, an action to be performed is identified according to the detected deviation and one or more action requests are generated and transmitted to one or more components and/or services of the multi-service system.

Abstract: The present disclosure relates to stable, liquid pharmaceutical compositions of losartan or pharmaceutically acceptable salts thereof for oral administration. The present disclosure further provides powder compositions for reconstitution to provide a liquid formulation. In further aspects, the present disclosure relates to processes for preparation of such pharmaceutical compositions, and methods of treating a subject in need of losartan by administration of a formulation described herein.

Abstract: A surveillance monitoring system may use a camera to detect any viewing faces visible within viewing sight of a monitor and determine whether the detected viewing faces belong to authorized individuals who are authorized to view video surveillance footage on the monitor or if any of the detected viewing faces belong to individuals who are not authorized to view video surveillance footage on the monitor. When the detected viewing faces belong only to authorized individuals, the surveillance monitoring system continues to display the video surveillance footage that includes identifiable faces without anonymizing the identifiable faces. When the detected viewing faces also include unauthorized individuals, the surveillance monitoring system may continue to display the video surveillance footage, but the surveillance monitoring system may automatically anonymize one or more of the identifiable faces seen in the video surveillance footage.

Abstract: Various methods, apparatuses/systems, and media for automatic real-time identification of dissatisfaction data are disclosed. A receiver receives real-time stream of call transcript data generated during a call or a chat between a customer and an agent. A processor implements a machine learning model that includes predefined complaint data; applies the received call transcript data onto the machine learning model; compares, in response to applying, the call transcript data with predefined complaint data; generates a first similarity score, based on comparing, that identifies how similar the call transcript data is compared to the predefined complaint data; and automatically identifies the call transcript data as a first dissatisfaction data based on determining that the first similarity score is equal to or more than a predetermined threshold value.

Abstract: Automated control of one or more exterior aircraft lights is presented, for instance exterior aircraft lights that enhance visibility by a pilot and including landing lights, taxi lights, and runway turnoff lights. One aspect of this automated control is that one or more of such exterior aircraft lights may be automatically activated, for instance when the aircraft has at least initiated movement and has not yet reached a certain altitude (e.g., while the aircraft is taxiing on the ground and including during takeoff). Another aspect of this automated control is that a trained image classification model may determine a visibility classification for an image acquired by an exterior aircraft camera, and this visibility classification may be used to automatically control the operation of one of more of such exterior aircraft lights (e.g., an intensity of the light output from such an exterior aircraft light(s)).

Abstract: The present disclosure relates to systems and methods for implementing secure database requests in a role-based application. In one example, the system may include at least one memory storing instructions and at least one processor configured to execute the instructions. The instructions may include instructions to receive, from a user device, a request to access data from a relational database; based on the request, extract the data from the relational database; perform one or more join commands on the data to generate an object in an object-oriented programming language having the joined data; convert the object to a data serialized format configured for use in a graphical user interface generator; and transmit the data serialized format to the user device.

Abstract: System and methods are provided for detecting, tracking, and managing outages of transaction processors. An indication is received indicating a potential outage associated with a transaction processor computer configured to process transactions of an online retail website. The indication can be received from a threshold monitoring service and/or from a machine-learning detection system. A computing service can be initiated to confirm and track the outage over time. An outage may include a number of situations in which the transaction processor fails to process transactions according to a set of predefined processing parameters. If the outage spans a particular time period, the service can perform a number of remedial actions (e.g., notifying an administrator of the outage, etc.).

Abstract: An electronic game board that simulates moves of one or more players includes a top cover that includes a play area onto which game pieces are arranged for facilitating a game. The electronic game board further includes a drive system located beneath the top cover for simulating the moves on the play area by moving at least one game piece from a first position on the play area to a second position on the play area. The drive system includes a robotic arm and first and second actuators for controlling movement of the robotic arm. To simulate the move, the first and second actuators control the movement of the robotic arm such that the game piece is moved from the first position to the second position by way of the robotic arm.

Abstract: An autonomous light system may comprise a reading light assembly, an object detection device; and a controller. The reading light assembly may include a light source and an actuation system. The controller may be operably coupled to the light source and the object detection device. The controller may include an object detection module and may be configured to receive object data from the object detection device, compare the object data against an object database, identify an object based on the comparison of the object data to the object database, send a first command to at least one of the light source and the actuation system.

Abstract: An actuation assembly for a double throw switch is disclosed. The assembly includes a pair of links. A distal end (D) of each of the pair of links is connectable to a first switch and a second switch of the double throw switch. A proximal end (P) of each of the pair of links includes a protuberance. Further, the assembly includes a drive disc securable to a wall of the double throw switch. The drive disc is defined with a plurality of slots of pre-defined profile. Each of the plurality of slots is structured to accommodate and guide the protuberance extending from a corresponding link of the pair of links. A lever arm is connectable to the drive disc and is operable to at least one of a first position, a neutral position, and a second position.

Abstract: The present disclosure is directed to formulations and methods for treating or preventing head pain, including migraines, with dihydroergotamine mesylate.

Abstract: Techniques for exchanging data segments between data aggregators and data consumers. In an embodiment, a value of an arbitrary data segment selected by a data consumer is computed. In particular, an individual user value is calculated for each user represented in the data segment, wherein the individual user value is a weighted sum (or other function) of the one or more features of the data segment attributable to that user, plus an additive gaussian noise. The overall value of the data segment is the sum of the individual user values. An offer price for the data segment can then be calculated using the overall value. Once a request is received from the consumer to purchase the data segment at the offer price, the data segment can be exchanged between the aggregator and consumer. Thus, a data marketplace or platform for the exchange of data segments is enabled.