Abstract: This disclosure relates generally to method and system for recommending improvement opportunities in enterprise operations. Due to recent advancement, cognitive business operations face challenges in identifying new business opportunities. The present disclosure receives statistics about performance data as inputs from each business operations to identify gaps of improvement specific to the context using an agility recommender technique. The received performance data are analyzed using a cognitive data analyzer comprising a structured data and an unstructured data which is an indicative factor of enterprise operations agility. The agility recommender technique computes the contextual factor based on a plurality of contextual parameters, a contextual intercept, and a coefficient of the contextual intercepts.

Abstract: Existing techniques assume that all time varying covariates are confounding and thus attempts to balance a full state representation of a plurality of historical observants. The present disclosure processes a plurality of historical observants and treatment at a timestep t specific to each patient using an encoder network to a obtain a state representation st. A first set of disentangled representations comprising an outcome, a confounding and a treatment representation is learnt to predict an outcome t+1. The first set of disentangled representations are concatenated to obtain a unified representation and the decoder network is initialized using the unified representation to obtain a state representation st+1. A second set of disentangled representations is learnt and concatenated to predict outcome t+m+1 m+1 timesteps ahead of the timestep t and proceeding iteratively until m=??1.

Abstract: The present disclosure provides a method and system to evaluate professional written communication skill of the user. Conventional methods are based on regression methods which are inefficient. Initially, the system receives the textual data from the user and pre-process the textual data to obtain a clean textual data. Further, a plurality of linguistic features is computed from the clean data. A plurality of psychological features is simultaneously computed from the clean textual data based on a psycholinguistic analysis. Further, a concatenated feature vector is computed based on the plurality of linguistic features and plurality of psychological features by a first Fully Connected Neural Network (FCNN). A contextual embedding is simultaneously computed based on the clean textual data by a Bidirectional Encoding Representations from Transformers.

Abstract: This disclosure relates generally to method and system to track and monitor human using an array of radars. Human tracking is necessarily important in security, especially with the growth of threats and incidents. Conventional systems and method lack in tracking target subject being authenticated to move around the monitoring environment. The present invention provides a method of detect human continually based on radar signals from an array of radars to track the presence of one or more target subjects associated within the monitoring environment. Further, a height surface plot of each target subject present in a radar range is constructed for identification. Then, each target subject present in the radar range of the monitoring environment based on mapping the height surface plot with a predefined height map. The characteristics of each target subject helps in detecting the target subject accurately.

Abstract: Currently teleconferencing robotic systems available are not smart and unable to navigate based on specific path and fail to focus on presenter based on overall environment. This disclosure relates to method of dynamic localization of a telepresence robot based on plurality of live markers. A plurality of images is received from an image capturing device connected to the telepresence robot. The plurality of images is processed to identify the plurality of live markers in a path of the telepresence robot. A binary matrix is decoded to identify at least one identifier (ID) associated with the at least one live marker from the plurality of live markers. A plurality of parameters is identified based on the at least one ID associated with the at least one live marker. A further path is dynamically localized to navigate the telepresence robot based on the plurality of parameters and the plurality of live markers.

Abstract: A method of analyzing the effectiveness of a machine learning model may include executing a test procedure of a machine learning model comprising a plurality of input features. The machine learning model may include a lag feature associated with one of the plurality of input features. Executing the test procedure may include querying one or more data sources for historical data records associated with the input features. The lag feature may restrict a query for historical data records from at least one of the data sources to a predetermined time prior to a time of the test procedure of the machine learning model. Executing the test procedure may include receiving the historical data records from the one or more data sources at the machine learning model. Executing the test procedure may include generating an output of the machine learning model.

Abstract: A method includes a data processing computer receiving an authorization request message comprising a user device identifier, addition method data, and an amount for an interaction from a network processing computer. The network processing puter determined the user device identifier from a token associated with a first interaction type of a plurality of interaction types associated with a plurality of tokens. The data processing computer can then determine whether or not the user device identifier matches a stored user device identifier. If the user device identifier matches the stored user device identifier. then the data processing computer can further process the interaction using the user device identifier and the addition method data.

Abstract: Systems and methods of the present disclosure relate to isolating a setting chamber of an actuating assembly from tubing pressure. The actuating assembly comprises a cylinder; a mandrel disposed within the cylinder, the cylinder operable to move along the mandrel; a piston disposed between the cylinder and the mandrel, the piston operable to move along the mandrel in a direction opposite to that of the cylinder; a chamber disposed adjacent the piston, wherein the mandrel includes a port operable to allow fluid to pass into the chamber from the mandrel; and a spring disposed adjacent to the piston, the spring operable to expand, upon release of pressure from the chamber, to move the piston to seal the port and isolate the cylinder from pressure within the mandrel.

Abstract: A computer-implemented method of diagnosing a technology environment using augmented reality may include: receiving status information corresponding to the technology environment; generating, based on the status information, a 3D visualization of the technology environment; causing an augmented reality device to display the 3D visualization, the 3D visualization including one or more first level icons; receiving first selection information from the augmented reality device, the first selection information corresponding to a first selection gesture performed by a user of the augmented reality device; and in response to the first selection information, causing the augmented reality device to display one or more second level icons as part of the 3D visualization.

Abstract: The present disclosure relates to systems and methods for generating real-time quotes using machine learning algorithms. The system may include a processor in communication with a client device, and a storage medium storing instructions that, when executed, cause the processor to perform operations including: receiving an image of a vehicle from the client device, extracting one or more features from the image, based on the extracted features and using a machine learning algorithm, identifying one or more attributes of the vehicle, based on the identified attributes of the vehicle, determining a make and a model of the vehicle, obtaining comparison information based at least in part on the determined make and model, estimating a quote for the vehicle based on the comparison information; and transmitting the estimated quote for display on the client device.

Abstract: A method of operating a machine learning target factory may include generating a plurality of machine learning targets. The method may include storing each of the plurality of machine learning targets on a network-attached database. The method may include receiving, at the network-attached database, a request for at least one of the plurality of machine learning targets for a machine learning model. The method may include providing the at least one of the plurality of machine learning targets to a computing device housing the machine learning model.

Abstract: An aerosol-generating device includes a pump. The pump includes a first pump chamber and a second pump chamber on opposing sides of a separation element. Each of the first pump chamber and the second pump chamber have an inlet valve and an outlet valve configured to establish a pumping direction. The pump also includes a first actuator and a second actuator. The first actuator is associated with the first pump chamber and the second actuator is associated with the second pump chamber. The first actuator and the second actuator are each configured to change a chamber volume of the respective pump chamber. The pump further includes a common inlet, and a common outlet. The common inlet and common outlet are in fluid communication with the first pump chamber and the second pump chamber and are configured to establish a flow direction. The pumping direction is aligned with the flow direction.

Abstract: A voice track (VT) device obtains a talent-to-master schedule and a station-to-master schedule. A master broadcast log, which includes an empty master VT associated with a user, is identified based on the talent-to-master schedule. The master broadcast log is displayed in a GUI on the VT recording device. User input selecting the empty master VT is received. Subscribing stations that use the identified master broadcast log as a basis for generating station broadcast logs are identified based on the station-to-master schedule, and obtained from the stations. For each station broadcast log that includes a station VT corresponding to the empty master VT, a match status is determined. The match status indicates whether media items scheduled for broadcast in slots adjacent to the station VT differ from media items scheduled for broadcast in slots adjacent to the empty master VT. Match statuses of station VTs corresponding to the empty master VT are displayed on a child window of the GUI.

Abstract: A system includes a processor and a non-transitory computer readable medium coupled to the processor. The non-transitory computer readable medium includes code that requests, via a process, access to the processor using an access request, determines, at the process, a resource-grant status of the access request, and positions the process into an optimum execution schedule based upon a grant-status assessment of the resource-grant status. When a result of the grant-status assessment is that the access request is granted, the process performs an entropic assessment of entropic information associated with the resource-grant status of the process. When the access request entropy of the entropic information is below an optimum entropy access request threshold, an access request time associated with the access request entropy is designated as an optimum request time.

Abstract: This disclosure relates generally to adaptive learning based systems and methods for optimization of unsupervised clustering. The embodiments of present disclosure herein address unresolved problem of involving manual intervention in data preparation, annotating or labelling training data to train classifiers, and taking a number of clusters directly as an input from the users for data classification. The method of the present disclosure provides a fully unsupervised optimized approach for auto clustering of input data that automatically determines the number of clusters for the input data by leveraging concepts of graph theory and maximizing a cost function. The method of present disclosure is capable of handling a new data by continuously and incrementally improving the clusters. The method of present disclosure is domain agnostic, scalable, provides expected level of accuracy for real-world data, and helps in minimizing utilization of powerful processors leading to reduced overall cost.

Abstract: An oral product includes a body that is wholly receivable in an oral cavity. The body includes a mouth-stable polymer matrix, cellulosic fibers embedded in the mouth-stable polymer matrix, and an additive dispersed in the mouth-stable polymer matrix. The oral product is adapted to release the additive from the body when the body is received within the oral cavity and exposed to saliva.

Abstract: Provided are transaction cards including an infinity mirror. In some approaches, a transaction card may include a body comprising a first reflective layer and a second reflective layer, and a light source between the first reflective layer and the second reflective layer.

Abstract: A doser mechanism includes a cylindrical shell, an auger conveyor, and a check valve. The cylindrical shell includes a hollow cylinder and an end plate. The hollow cylinder at least partially defines an internal enclosure extending between first and second ends of the hollow cylinder, a first opening at the first end, and a second opening through a thickness of the hollow cylinder. The end plate covers the second end. The auger conveyor includes an auger at least partially extending through the internal enclosure through the first end. The check valve has a valve member configured to selectively cover the second opening. The check valve may cause the valve member move between a rest position and an open position to cover or expose the second opening in response to a magnitude of a force applied to the valve member from the internal enclosure through the second opening.

Abstract: In the world of digital advertising, optimally allocating an advertisement campaign within a fixed pre-defined budget for an advertising duration aimed at maximizing number of conversions is very important for an advertiser. Embodiments of present disclosure provides a robust and easily generalizable method of optimal allocation of advertisement campaign by formulating it as a constrained Markov Decision Process (MDP) defined by agent state comprising user state and advertiser state, action space comprising a plurality of ad campaigns, state transition routine and a cumulative reward model which rewards maximum total conversions in an advertising duration. The cumulative reward model is trained in conjunction with a deep Q-network for solving the MDP to optimally allocate advertisement campaign for an advertising duration within a constrained budget.

Abstract: HIPAA-compliant computer security method and system for recording, using a video camera, electronic visual personal health information of at least two individuals, including an individual under care, and preventing unauthorized access of the user to the video information. The video is compared to physical attribute information of the individuals stored in the computer system's memory, and the individuals are identified by facial matching. The user's stored caseload has authorization profile information including access to individuals under care. The identified individuals are compared to the user's caseload information, and the user is granted access to part of the video of the individual under care, the video of the other individuals is blurred, and the resulting video is transmitted to the user's caseload for viewing. Data fields of an information request are populated using formatted data from the video information.