Abstract: Systems and methods for collecting and displaying business insights in a cloud-based system. Steps include obtaining data from a cloud-based system associated with any of applications, infrastructure, and employees of an organization, wherein the cloud-based system includes a plurality of organizations with the applications, infrastructure, and employees each assigned thereto; processing the data associated with the organization to determine a plurality of insights; and displaying the plurality of insights on a per-organization basis based on the processing.

Abstract: Techniques are disclosed for framing images and/or video streams. Such techniques may include performing face detection on an image, determining a gaze direction within image content associated with a detected face, and defining a cropping window for the image based on the detected face and the determined gaze direction of the detected face. Thereafter, the image may be cropped according to the cropping window.

Abstract: The present disclosure relates to a process for treatment of biomass, specifically for pulping and biorefinery applications. The process relates to an organosoly process using high boiling organic solvents for the extraction of high molecular weight lignin and other products from the solution of pulping liquor, by using recycled liquor as the white liquor for pulping. The disclosure also relates to byproducts of pulp & paper industry such as lignin. C5 & C6 sugars.

Abstract: A method for managing tasks performable by autonomous vehicles includes performing a setup for various utility capabilities of an autonomous vehicle, where the various utility capabilities of the autonomous vehicles perform multiple activities to complete a task. The method also includes receiving programming constructs to support task definitions and configurations of the various utility capabilities of the autonomous vehicle. The method also includes configuring the autonomous vehicle with the multiple activities to complete the task and associating each activity with one or more utility capabilities from the various utility capabilities of the autonomous vehicle. The method also includes instructing the autonomous vehicle to perform the multiple activities to complete the task and validating, via the various utility capabilities of the autonomous vehicle, the completion of the task.

Abstract: A method includes processing event data to detect a status of a network function. The event data is processed based on two or more conditions defined by a correlation policy. The correlation policy includes a non-deterministic finite automata tree (NFAT) structure correlation policy having a policy type and a logic-gate. The method additionally includes determining the policy type of the NFAT structure correlation policy. The method also includes determining whether a first value of the two or more conditions is indicative of whether a first condition is satisfied. The method further includes determining whether a second value of the two or more conditions is indicative of whether the second condition is satisfied. The method additionally includes determining whether the NFAT structure correlation policy is satisfied based on the first value, the second value, the logic-gate and the policy type.

Abstract: A system and method of open-world semi-supervised satellite object detection involves a machine learning engine configured with a training component and an inference component. The method of object detection detects objects in satellite imagery represents a solution for difficult challenges of arbitrary orientations, wide variation in object sizes, large number of densely packed objects, and highly complex background. A transformer network detects unknown objects in the satellite image. The transformer network includes a rotation-aware pyramidal pseudo-labeling operation that captures scale-specific pyramidal features at oriented box regions for pseudo-labeling unknown objects in the satellite image. A semi-supervised learning pipeline learns a new set of object classes to be detected. A prediction head outputs the satellite image annotated with a predicted object class for an unknown object.

Abstract: The present disclosure provides systems and methods for animal health monitoring. Load data can be obtained from an animal monitoring device including three or more load sensors associated with a platform carrying contained litter thereabove, wherein individual load sensors of the three or more load sensors are separated from one another and receive pressure input from the platform independent of one another, wherein the three or more load sensors individually sample loads at from 2.5 Hz to 110 Hz. An animal behavior property associated with the animal can be recognized if it is determined based on load data that the interaction with the contained litter was due to the animal interaction with the contained litter. The animal behavior property can be classified into an animal classified event using a machine learning classifier.

Abstract: Methods, systems, and non-transitory computer-readable media are configured to perform operations comprising determining an image of an environment. A drivable area and boundary information associated with the environment are determined based on the image. At least one boundary for navigation of the environment is generated based on the drivable area and boundary information.

Abstract: Techniques are described for protecting services containing web applications from malicious attacks. A data flow that includes a stack trace and a process is received from a web application. The stack trace is chained with the process to generate a data flow graph. A data lake is then accessed to determine whether the data flow graph is in the data lake. If the data flow graph is not in the data lake, then the data flow can be considered safe. If the data flow graph is not already in the data lake, then a determination is made as to whether the data flow includes a command that accepts user input. If it is determined that the data flow does include a command that accepts user input, then the data flow can be considered to be malicious and the process is terminated to protect the web application from a malicious attack.

Abstract: An example operation may include one or more of detecting, by a blockchain (BC) node, a contract update on a blockchain, determining, by the BC node, at least one charge affected by the contract update, executing, by the BC node, a smart contract to re-generate an invoice based on the at least one charge, and recording the invoice on a ledger of the blockchain.

Abstract: Techniques are disclosed for migrating one or more services from an edge device to a cloud computing environment. In one example, a migration service receives a request to migrate a first set of services from the edge device to the cloud computing environment. The migration service identifies a hardware profile of a computing device (or devices) of the cloud computing environment that matches the edge device, and then configures the computing device to execute a second set of services that corresponds to the first set of services. The migration service establishes a communication channel between the edge device and the computing device, and then executes a set of migration operations such that the second set of services is configured to execute as the first set of services. The computing device may operate in a virtual bootstrap environment or dedicated region of the cloud computing environment.

Abstract: The present invention relates to a system and a method for managing communication between at least one NB-IoT device and an application server. The method comprises continuously receiving, at a mobility management unit, one or more data request from the application server for the at least one NB-IoT device. The mobility management unit transmits a paging request to the at least one NB-IoT device and dynamically monitors a response to the paging request from the at least one NB-IoT device. The mobility management unit continuously buffers the one or more data request based on the dynamic monitoring, and transmits, the one or more buffered data request based on one of an expiry of the paging request and the dynamic monitoring for managing communication between at least one NB-IoT device and the application server.

Abstract: A workflow configuration system for configuring and tracking quality report generation workflows receives via a workflow configuration interface input indicative of selected arrangements of graphical elements within quality report pane(s) of the workflow configuration interface and generates workflow configuration data based on the received input. The workflow configuration data is provided to a quality report generation system, which may be configured to perform report generation operations based on the workflow configuration data. The workflow configuration system presents a workflow status tracking interface and generates status alerts with respect to quality report generation workflows defined in the workflow configuration data based on quality report generation status data (e.g., generated by the quality report generation system) and/or on the quality report workflow configuration data.

Abstract: Provided are systems, methods, and programming for facilitating real-time determination of a process completion likelihood. In some embodiments, data including an update to a system, the update occurring at a first time, wherein updates to the system are permitted until an expiration time may be obtained, a set of fixed descriptors of the system may be retrieved and/or received, and a set of status updates describing the system at prior times may be obtained. Each status update of the set of one or more status updates includes at least (i) an update to the first system and (ii) a time that the respective status update occurred. Based on the data, the fixed descriptors, and the status updates, using a trained machine learning model, a failure/success score indicating a likelihood that, at the expiration time, the system satisfies a threshold condition may be computed and stored in memory.

Abstract: An application programming interface (API) call is received to obtain an access data object that includes a permission of an application provider to access a resource of an entity. A previous permission to access a second resource of the entity is identified. As a result of receiving the API call, an access data object is generated to include the permission and the previous permission.

Abstract: Aspects presented herein may improve an emergency call establishment procedure by enabling a UE to transmit emergency register messages more efficiently. In one aspect, a UE transmits, to a network entity, a request to set up an ePDN. The UE receives, from the network entity, a response to the request comprising a set of multiple P-CSCF addresses. The UE transmits, to the network entity, a registering message to each of the multiple P-CSCF addresses simultaneously. The UE receives, from the network entity, at least one acceptance message from at least one of the set of multiple P-CSCF addresses in response to the registering message. The UE transmits, to the network entity, an invitation message to a P-CSCF address from which an acceptance message is received to establish an emergency call connection.

Abstract: A method can include training a machine learning algorithm to determine a duration of a new work order, based on (a) historical input data for the machine learning algorithm and (b) historical output data for the machine learning algorithm. The method can also include determining one or more work orders for a service provider comprising: determining, by the machine learning algorithm, as trained, one or more durations of the one or more work orders; and determining an optimized service route for the one or more work orders. The method can further include updating a work schedule for the service provider based on the optimized service route. Other embodiments are also provided.

Abstract: A query generation and processing system includes a relational data store, a query generator, and a query processor. The relational data store stores data ingested from data sources in a first and second datasets. The query generator interprets a data expression in a simplified query language to generate a query in a structured query language based on identifying quads corresponding to the first and second datasets in the data expression and determining an implicit join between the quads based on an unambiguous relationship obtainable from a schema of the first and datasets, in which the data expression does not expressly identify a join between the first quad and the second quad. The query processor generates a query pipeline that uses the data of the first and second datasets stored by the relational data store to execute the query generated by the query processor.

Abstract: Techniques and architecture are described for detecting a compromised mailbox as an email account compromise (EAC) involved in lateral phishing, lateral scam, lateral BEC, outbound scam, lateral and inbound fraudulent money transfer requests. For example, the techniques and architecture provide a method that comprises scanning, by a pre-filter, electronic mail messages (emails) within an organization, wherein the emails originate within the organization. The pre-filter analyzes the emails with respect to known fraudulent email practices and determines that an email is a questionable email. A retrospective behavior engine analyzes the questionable email with respect to one or more historical traits to provide a feature set. Based at least in part on the feature set, the verdict correlation engine determines that the questionable email belongs in a class of emails from multiple classes of emails. Based at least in part on the class, the verdict correlation engine performs a responsive action.

Abstract: The present invention relates to new immunogenic compositions comprising conjugated Streptococcus pneumoniae capsular saccharide antigens (glycoconjugates), kits comprising said immunogenic compositions and uses thereof. Immunogenic compositions of the present invention will typically comprise at least one glycoconjugate from a S. pneumoniae serotype not found in PREVNAR®, SYNFLORIX® and/or PREVNAR 13®. The invention also relates to vaccination of human subjects, in particular infants and elderly, against pneumococcal infections using said novel immunogenic compositions.