Abstract: The present invention relates to a single photon avalanche diodes-based time-of-flight sensor (100). The single photon avalanche diodes (SPADs) based time-of-flight (ToF) sensor (100) includes an Nx N single photon avalanche diode (SPAD) photodetector (101), a front-end (FE) unit (103), a pulse shaping (PS) unit (105), a pulse store unit (107), a peak detection unit (109), a digital logic unit (111), a timing processing circuitry unit (113), and memory elements unit (115). Due to integration of multiple units in single photon avalanche diodes (SPADs) based time-of-flight (ToF) sensor (100), the single photon avalanche diodes-based time-of-flight (ToF) sensor (100) accurately measures distance by adequate, suitable, and efficient elimination of background light.

Abstract: Data is received that is generated by at least one sensor forming part of a surgical instrument. The sensor(s) on the surgical instrument can characterize use of the surgical instrument in relation to a patient. A first machine learning model can construct a force profile using the received data. The force profile includes a plurality of force patterns. In addition, a plurality of features are extracted from the received data. Thereafter, one or more attributes characterizing use of the surgical instrument are determined by a second machine learning model using the constructed force profile and the extracted features. Data characterizing the determination can be provided (e.g., displayed to a surgeon, etc.).

Abstract: Apparatus, methods, and computer program products for outputting a past incident insight interface component in a software monitoring data management system are provided. An apparatus may detect a past incident insight interface component request; identify a past incident candidate data object set based on a current incident data object; determine a primary ranking of the past incident candidate data object set or a subset thereof; determine one or more subsequent rankings of the primarily ranked past incident candidate data objects of the past incident candidate data object set or the subset thereof; generate a past incident insight interface component comprising a listing of a past incident candidate data object suggestion set, the past incident candidate data object suggestion set listing one or more of the subsequently ranked past incident candidate data objects; and output the past incident insight interface component for rendering to an incident alert management user interface.

Abstract: Methods and apparatuses are provided for deaeration of a liquid. Liquid may be impinged onto an inclined baffle and forced through a first plurality of apertures that direct the liquid in one or more directions away from one or more outlets of a reservoir. The liquid may be passed through a second plurality of apertures. Flowing the liquid as described promotes a circuitous route of travel and provides a residence time inside of the reservoir that promotes release of entrained air.

Abstract: A natural language request is received for surgical event information associated with one or more network-connected medical devices. Based on the natural language request, a generative artificial intelligence model is prompted to generate a database query. This database query is used to query a graph database which returns, data responsive to the database query. Such responsive information can be conveyed to a user initiating the request in a user interface (e.g., GUI, audio, etc.). In some variations, the results from the graph database are used to poll one or more other models to obtain further contextual information or to provide curation of the results in a more user-friendly and intuitive manner.

Abstract: The system includes a first endpoint and a second endpoint executing a remote collector to receive metrics from the first endpoint using a first CA certificate of the remote collector. Further, the system includes a storage device to store a second CA certificate for a collector group that shares responsibility for a monitoring function to support high availability and a management node including a certificate management module. The certificate management module may add the second endpoint to the collector group in response to receiving a request. Further, the certificate management module may retrieve the second CA certificate from the storage device and replace the first CA certificate of the remote collector with the second CA certificate of the collector group. Furthermore, the certificate management module may enable the collector group to validate a request to accept the metrics from the first endpoint based on the second CA certificate.

Abstract: The system includes a first endpoint executing a configuration agent and a second endpoint executing a remote collector. The remote collector may use a first service to receive metrics of the first endpoint based on a first client certificate. The remote collector includes a detection unit to detect whether the second endpoint has been added to or removed from a collector group that shares responsibility for monitoring functions to support high availability. The remote collector includes a certificate generation unit to generate a second client certificate for the first endpoint based on whether the second endpoint has been added to or removed from the collector group. Further, the remote collector includes a configuration master to update the first endpoint to replace the first client certificate with the second client certificate and cause the first endpoint to post metrics to a second service at the remote collector.

Abstract: The present invention is a highly available system comprising a system to send a plurality of bootstrap requests, at least one cloud proxy fit to receive the plurality of bootstrap requests, wherein each instance of the at least one cloud proxy is coupled with an adapter, and at least one host fit to communicate with one of the at least one cloud proxy.

Abstract: Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and/or request bodies, structuring user-generated content, and/or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and/or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Abstract: An example method, performed by a remote collector executing on a management node, may include monitoring an endpoint based on a first client certificate. Further, the method may include receiving a request to update the first client certificate in the endpoint. In response to receiving the request, the method may include generating a second client certificate for the endpoint and storing the second client certificate in a storage unit. Furthermore, the method may include applying a control command to the endpoint that causes replacement of the first client certificate with the stored second client certificate in the endpoint. Upon replacing the first client certificate with the second client certificate, the method may include monitoring the endpoint based on the second client certificate.

Abstract: An ultrasound signal processor uses an excitation generator to cause displacement of a membrane or surface while a series of ultrasound pulses are applied to the membrane or surface. Phase differences between a transmitted signal and received signal are examined to determine the movement of the membrane or surface in response to the applied excitation. An examination of the phase response of the membrane or surface provides a determination as to whether the fluid type behind the membrane or surface is one of: no fluid, serum fluid, or purulent fluid.

Abstract: An ultrasound signal processor uses an excitation generator to cause displacement of a tympanic membrane while a series of ultrasound pulses are applied to the tympanic membrane. Phase differences between a transmitted signal and received signal are examined to determine the movement of the tympanic membrane in response to the applied excitation. An examination of the phase response of the tympanic membrane provides a determination as to whether the fluid type behind the tympanic membrane is one of: no fluid, serum fluid, or purulent fluid.

Abstract: Systems and methods for a hierarchical step-up authentication mechanism include monitoring access to one or more private applications; responsive to a request to access the one or more private applications, determining an Authentication Level (AL) of a user associated with the request, wherein determining the AL of the user comprises referencing one or more AL trees; and responsive to determining an AL of the user, performing one or more actions based thereon, wherein the one or more actions comprises one of allowing access to the one or more private applications and denying access to the one or more private applications.

Abstract: Attenuators are disclosed according to various aspects. In some aspects, an attenuator includes resistors coupled along a resistive path, wherein a first one of the resistors is coupled to an input of the attenuator, and shunt circuits, wherein each one of the shunt circuits is coupled between a respective node on the resistive path and an output of the attenuator. In other aspects, an attenuator includes routing circuits coupled in parallel between an input of the attenuator and an output of the attenuator, wherein each one of the routing circuits includes a respective series resistor and a respective series switch coupled in series between the input of the attenuator and the output of the attenuator, and a respective switchable resistor circuit coupled to a respective node between the respective series resistor and the respective series switch, wherein resistances of the series resistors of the routing circuits are binary weighted.

Abstract: Methods and apparatuses are provided for deaeration of a liquid. Liquid may be impinged onto an inclined baffle and forced through a first plurality of apertures that direct the liquid in one or more directions away from one or more outlets of a reservoir. The liquid may be passed through a second plurality of apertures. Flowing the liquid as described promotes a circuitous route of travel and provides a residence time inside of the reservoir that promotes release of entrained air.

Abstract: A method for capturing images of large target area using a single camera configured with an aerial vehicle (AV) for reconstructing a high-resolution image is disclosed including the steps of moving the AV over the area of interest along a straight path; capturing a first set of images of an area down below by pointing an optical axis of the camera towards a first side of the straight path such that the optical axis makes a first predefined angle with vertical; and capturing a second set of images of the area down below by pointing the optical axis of the camera towards a second side of the straight path such that the optical axis makes a second predefined angle with respect to the vertical. Side overlap between the first and second set of images is optimized to account for error in camera movement.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for determining robustness information for an NLP model. Modification rules, such as replacement rules and/or insertion rules, are used to generate instances of modified test data based on instances of test data that comprise words and have a syntax and a semantic meaning. The instances of test data and modified test data are provided to the NLP model and the output of the NLP model is analyzed to determine output changing instances of modified test data, which are instances of modified test data yielded output from the NLP model that is different and/or not similar to the output yielded from the NLP model for the corresponding instance of test data. Robustness information for the NLP model is determined based at least in part on the output changing instances of modified test data.

Abstract: Disclosed in some examples are methods, systems, and machine readable mediums which provide summaries of topics determined within a corpus of documents. These summaries may be used by customer service associates, analysts, or other users to quickly determine both topics discussed and contexts of those topics over a large corpus of text. For example, a corpus of documents may be related to customer complaints and the topics may be summarized to produce summaries such as “credit report update due to stolen identity.” These summarizations may be used to efficiently spot trends and issues.

Abstract: A computer-implemented method for handling inbound service requests analyzes content of the message to extract a set of features, and generating a feature vector based on the set of extracted features. A categorization metric for the feature vector is then determined, using a set of predetermined categorization vectors, wherein each predetermined categorization vector corresponds to a respective portal endpoint associated with one or more predefined ticket types and sub-types of an information technology service management system. In response to the categorization metric satisfying a comparison criteria with respect to one or more predetermined categorization vectors, a particular portal endpoint is selected. Content from the email message is then extracted. A new issue object request is then automatically generated in accordance with a particular object requirement set associated with the particular portal endpoint for submission to an issue tracking system to create a new issue object.

Abstract: The present disclosure relates to a system and method for executing safe-return of an Unmanned Aerial Vehicle (UAV) moving along a path having a plurality of communication waypoints in the event of a communication failure. In an aspect, the proposed method can include the steps of detecting, at the UAV, a communication failure; enabling the UAV to return to last healthy communication waypoint location; and based on status of the communication failure, enabling the UAV to return to its home location.