Abstract: The present disclosure relates to a system (102) for managing bulk consent, the system includes a processor (202) operatively coupled to a memory, the memory storing instructions executable by the processor to receive, from a first entity (108), a bulk consent request for one or more vehicles, wherein the bulk consent request comprises a plurality of categories of automotive data, each category comprises a set of parameters associated with corresponding one or more vehicles, indicate, by the first entity (108), a set of control values associated with corresponding one or more vehicles, the set of control values control access to the set of parameters, receive, by a second entity (110), the bulk consent request from the first entity through a distributor (104) and modify the set of parameters based on the set of control values specified by the first entity in the bulk consent request.

Abstract: A device receives a notification indicating a failure of a first server device responsible for a primary message queue that includes messages at a time of the failure. A second server device is responsible for a standby message queue to which the messages are replicated, where a position in the standby message queue and a message time are assigned to each of the replicated messages. The device obtains a record time that identifies the message time of one of the messages that was last obtained from the primary message queue prior to the failure, compares an adjusted record time and the message time of one or more of the messages of the standby message queue to determine a starting position in the standby message queue, and processes messages obtained from the standby message queue beginning at one of the messages assigned to the position that matches the starting position.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing deep learning to intelligently determine compression settings for compressing a digital image. For instance, the disclosed system utilizes a neural network to generate predicted perceptual quality values for compression settings on a compression quality scale. The disclosed system fits the predicted compression distortions to a perceptual distortion characteristic curve for interpolating predicted perceptual quality values across the compression settings on the compression quality scale. Additionally, the disclosed system then performs a search over the predicted perceptual quality values for the compression settings along the compression quality scale to select a compression setting based on a perceptual quality threshold. The disclosed system generates a compressed digital image according to compression parameters for the selected compression setting.

Abstract: A system to store specimen containers in a temperature controlled environment includes at least a first temperature sensor positioned to sense a temperature in a first region of the temperature controlled environment in an interior of the cryogenic storage tank and at least a first level sensor positioned to sense a level of a cryogenic medium within the temperature controlled environment in the interior of the cryogenic storage tank. A method of storing specimen containers in a temperature controlled environment includes monitoring one or more parameters within the temperature controlled environment to prevent exposure of biological samples within the specimen containers to parameters that put the viability of the biological samples at risk.

Abstract: A system and method facilitates transfers of specimen containers (e.g., vials with caps) between storage cassettes and carrier cassettes. The storage cassettes are designed to be stored in cryogenic refrigerators while the carrier cassettes are designed to be temporarily stored in a portable carrier. Identification information is read from wireless transponders carried by the specimen containers. Visual mappings of the positions of the specimen container in the cassettes is provided. Presence and position of the specimen containers in the cassettes is verified, and alerts of inconsistencies provided along with corrective commands. Inventories of specimen container and even specific specimen holders are provided.

Abstract: The present invention provides a robust and effective solution to an entity or an organization for creating and standardizing an Automotive Data Quality Marker (ADQM) to determine/evaluate/predict the quality of automotive data such as Telematics, Body Control, ADAS, Diagnostics, Dashcams, and In-Vehicle Infotainment but not limited to the like generated by the vehicle (i.e., data source) using a machine learning (ML) engine associated with a processing unit. The machine learning engine comprises an amalgamation of machine learning algorithms to determine ADQM for a particular dataset. Data pertaining to vehicles is huge and repetitive. Re-training of the model for improved accuracy is a requirement as automotive data can be augmented with additional signals and data received and stored as trip objects on a regular basis.

Abstract: The present invention provides a robust and effective solution to an entity or an organization by allowing to visualize the flow of automotive data signals from a source system to a sink system with different metric signals at each step and creating a mechanism for creating automotive signal quality marker (ASQM) for high quality automotive data signals by determining high value data parameters, inter-parameter correlation, data quality variation with trip duration, and frequency of data collection/distribution across datasets. The quality criterion thus developed is applied to data generated from a plurality of data sources. The ASQM may be calculated by converting the developed automotive data signals quality criterion into a numeric value on a specified scale. It can be used by all stakeholders in the value chain for consistent measurement of automotive data signals quality.

Abstract: The DYNAMIC CHECKOUT BUTTON APPARATUSES, METHODS AND SYSTEMS (DCB) transforms product page checkout request input and user identification input via DCB components such as offer/discount determination component and checkout button embedding component, into dynamic checkout button outputs.

Abstract: A method includes receiving, by a universal authentication application from a resource provider computer, a user credential verification request message comprising a user identifier, server computer data, and interaction data for an interaction. The universal authentication application transmits the user credential verification request message to a browser that invokes the authenticator to verify biometric information of a user. The universal authentication application receives a user credential verification response message from the authenticator. The user credential verification response message includes signed interaction data. The universal authentication application sends the user credential verification response message to the resource provider computer. The resource provider computer provides at least the signed interaction data to a plurality of server computers to retrieve a plurality of portable device credentials respectively associated with the plurality of server computers.

Abstract: Some embodiments provide a method for evaluating a content segment for relevancy to several of categories. The method retrieves the content segment. For each of the several categories, the method determines the relevancy of the content segment to the category by using a scoring model for the category. The scoring model accounts for (i) the presence of key word sets in the content segment and (ii) the context of the key word sets in the content segment. For each of the several categories, the method tags the content segment when the content segment is determined as relevant to the category.

Abstract: Disclosed are various approaches for performing biometric authentication of users using an application running on a client device. A biometric model can be trained using biometric data from a population of users. The biometric model can be used by the client application to authenticate users and can be separate from system-level biometric authentication capabilities of the client device.

Abstract: A device receives a notification indicating a failure of a first server device responsible for a primary message queue that includes messages at a time of the failure. A second server device is responsible for a standby message queue to which the messages are replicated, where a position in the standby message queue and a message time are assigned to each of the replicated messages. The device obtains a record time that identifies the message time of one of the messages that was last obtained from the primary message queue prior to the failure, compares an adjusted record time and the message time of one or more of the messages of the standby message queue to determine a starting position in the standby message queue, and processes messages obtained from the standby message queue beginning at one of the messages assigned to the position that matches the starting position.

Abstract: A device receives network condition information. The network condition information is indicative of network resource availability at a plurality of locations. The device processes the network condition information to associate network resource availability identified in the network condition information with one or more airspace voxels that represent one or more three-dimensional (3D) portions of airspace corresponding to the plurality of locations. The device receives flight parameters relating to a proposed flight plan of an unmanned aerial vehicle (UAV) through airspace represented by a set of airspace voxels, and network performance parameters associated with the proposed flight plan. The device determines that the network resource availability that is associated with the set of airspace voxels fails to satisfy the network performance parameters, and performs one or more actions to enable the UAV to access network resources that satisfy the network performance parameters.

Abstract: The methods disclosed generally relate to treatment of process water using chlorine dioxide. Specifically, reactants may be fed asynchronously into a diluent line or a tank where the reactants may mix and react to form chlorine dioxide. The chlorine dioxide levels may fluctuate in the diluent line or the tank thereby inhibiting or reducing the growth of microbes.

Abstract: Some embodiments provide a method for identifying competitors of a particular company. The method identifies a set of potential competitors of a particular company. For each potential competitors, the method calculates a score quantifying the competitive relationship of the potential competitor to the particular company. When the calculated score is above a particular threshold, the method associates the potential competitor as a competitor of the particular company.

Abstract: Some embodiments provide a method for evaluating a content segment for relevancy to several of categories. The method retrieves the content segment. For each of the several categories, the method determines the relevancy of the content segment to the category by using a scoring model for the category. The scoring model accounts for (i) the presence of key word sets in the content segment and (ii) the context of the key word sets in the content segment. For each of the several categories, the method tags the content segment when the content segment is determined as relevant to the category.

Abstract: A customer relationship management (CRM) platform may use data objects to store data associated with a virtual meeting. The CRM platform may store information about a virtual meeting in a meeting object, and store information about meeting participants in participant objects linked to the meeting object. The CRM platform may also store meeting information, returned from a separate virtual meeting platform that will host the virtual meeting, in the meeting object and the participant objects. Accordingly, the CRM platform can use the meeting object and participant objects to display meeting information in a user interface, allow users to edit meeting details via the CRM platform, and/or allow users to join the virtual meeting via the CRM platform without separately logging in to the virtual meeting platform.

Abstract: Techniques and structures to facilitate conversion of a workflow process is disclosed. The techniques include receiving an image, identifying one or more objects included in the image, identifying one or more properties associated with each of the one or more objects, generating a matrix including data including the identified objects and associated properties and processing the matrix at a machine learning model to determine whether the image is to be translated based on a determination that one or more objects and associated properties within the image are required to be translated.

Abstract: A controller receives sensor data from a sensor of a water system in response to operation of the water system in an automation phase. The sensor generates data indicative of oxidant level of the water system. The controller determines observed water chemistry behavior based on the sensor data and compares the observed water chemistry behavior to learned water chemistry behavior. The water chemistry behavior may include a rate of increase or decrease. The controller performs an automation action in response to the comparison. The automation action may include modifying addition of oxidizing chemistry to the water system, generating an alarm, or sending an alert. The controller may receive sensor data in response to operation of the water system in a learning phase and determine the learned water chemistry behavior based on the sensor data received during the learning phase.

Abstract: A device receives network condition information. The network condition information is indicative of network resource availability at a plurality of locations. The device processes the network condition information to associate network resource availability identified in the network condition information with one or more airspace voxels that represent one or more three-dimensional (3D) portions of airspace corresponding to the plurality of locations. The device receives flight parameters relating to a proposed flight plan of an unmanned aerial vehicle (UAV) through airspace represented by a set of airspace voxels, and network performance parameters associated with the proposed flight plan. The device determines that the network resource availability that is associated with the set of airspace voxels fails to satisfy the network performance parameters, and performs one or more actions to enable the UAV to access network resources that satisfy the network performance parameters.