Abstract: A workplace safety system includes an item of monitored equipment, a mobile communications device, and a scoring computing system. The item of monitored equipment includes a sensor, a transmitter, and a computing unit. The sensor is configured to generate signals. The computing unit is electrically coupled with each of the sensor and the transmitter. The mobile communications device is in wireless communication with the transmitter via a short-range communication protocol. The scoring computing system is in networked communication with the mobile communications device and is configured to receive data. The data includes an identity of an operator of the item of monitored equipment. A characteristic of operation is determined based upon the signals from the sensor and represents a manner by which the operator has used the item of monitored equipment. The scoring computing system is configured to generate a safety score associated with the operator. Methods are also provided.

Abstract: Disclosed are techniques for determining opt-out compliance to prevent user data exploitation. In an aspect, a user device scans an email account of a user of the user device to identify a list of commercial email domains from which the email account has received one or more emails, transmits an opt-out request to a commercial email domain on the list of commercial email domains, receives an opt-out response from the commercial entity, wherein the opt-out response comprises an email or a webform containing natural language text indicating a response to the opt-out request, applies a machine learning model to the opt-out response to classify, based on the natural language text indicating the response to the opt-out request, a type of the opt-out response as one of a plurality of types of opt-out responses, and displays a notification indicating the type of the opt-out response determined by the machine learning model.

Abstract: A truck scale management system comprising a server including a processor and a memory having executable instructions stored thereon that when executed by the processor cause the processor to connect to a truck scale system through a communication interface via a virtual scale, the virtual scale comprising a data connection to a physical truck scale in the truck scale system and including attributes of the physical truck scale, retrieve a given virtual kiosk associated with the virtual scale from a database, the given virtual kiosk communicatively accessible from a client device and including one or more customizable functionalities and workflows that interact with the truck scale system, and facilitate communication between the client device and the truck scale system via the given virtual kiosk.

Abstract: A computer system that is adapted for: (A) displaying a geographical map on a display screen; (B) displaying a plurality of icons on the geographical map, each of which generally represents the current location of at least one individual; (C) allowing a user to select a group of the icons; and (D) after the user selects the group of icons, providing messaging functionality for allowing the user to send a common message to the respective portable computing devices of at least substantially all of the individuals who correspond to the selected group of icons. In particular embodiments, the system allows the user to send the message by executing a single activity, such as selecting a single button. The system may also be configured to approximate the current location of an individual based on the individual's current travel itinerary.

Abstract: The present invention extends to methods, systems, and computer program products for integrating healthcare screening with other identity-based functions. In general, components facilitating healthcare screening interoperate with and/or are integrated into other systems, including facility access, identity, time keeping, payroll, etc. Aspects of the invention include using facial recognition to improve healthcare screening and satisfy governmental regulations. A thermal scanner can include a camera and an InfraRed (IR) camera. The thermal scanner can collect a facial image and derive a temperature for a person (e.g., from an IR image). The thermal scanner can also collect or access previously collected healthcare screening questionnaire answers. The collected temperate and healthcare screening questionnaire answers can be used to control access to the facility.

Abstract: A system (10) and method of this disclosure identifies and prioritizes utility services infrastructure assets and other structures located within a selected service territory that may be potentially impacted by a natural hazard event. The method dynamically displays a map on a graphical user interface, the map containing virtual representations of the utility services infrastructure assets, the non-utility services structures, and a magnitude of the natural hazard event in relation to those assets and structures. Using one of more predetermined rules, a prioritized list of the utility services infrastructure assets that should be inspected within the selected service territory may be dynamically generated. The predetermined rules may include a likelihood of damage and a consequence severity such as, but not limited to, effect on service or public health or safety. Users may be automatically notified when a magnitude of the event is at least as great as a predetermined threshold.

Abstract: A method for simulating a scenario in a computing environment is described. The method includes determining a user intent of a user from an input received from the user for executing at least one intended task by the user, generating a feature set based on analyzing the user intent, and processing, based on the user intent, at least one data feed received from a database to select at least one plan of action for executing the at least one intended task. At least one plan of action is simulated in a graphical user interface as virtual or augmented reality based on the feature set to enable at least one of responding additionally received input from the user and the at least one intended task is performed according to the user intent.

Abstract: Systems and methods for generating user notifications to a set of users of a social networking service is presented. For each user of a set of users of the social networking service, one or more machine learning models selects an optimal notification channel, an optimal notification template, and optimal personalization content for configurable elements of a selected notification template. Each of these determinations/selections is made according to and based on a likelihood of increased user engagement with the social networking service. Upon determining the notification channel, notification template, and personalizations to the template, the notification is generated and sent to the corresponding user.

Abstract: A token system and method, employing a token representing an interest in a smart contract, comprising: a distributed ledger, storing parameters of a smart contract, the smart contract representing an agreement, secured by a security interest in property, to execute the security interest unless a token is returned within a period; a communication port configured to interface with an automated communication network for communications between a plurality of cryptographic hardware processors; and an automated distributed virtual state machine, hosted by the plurality of cryptographic hardware processors, employing a distributed consensus model for transaction validation, the automated distributed virtual state machine being configured to: communicate distributed consensus messages through the automated communication network; communicate the token; execute the smart contract defined by the parameters, receiving inputs and producing outputs on a blockchain; and communicate an immutable message for exercise of the s

Abstract: An information processing device includes a processor configured to cause an activity element identifier that identifies an activity element defined in an activity management service, and for which a trail that indicates an electronic document to be registered is defined, to be stored in a memory in association with a channel identifier that identifies a channel defined in a communication service, and in a case where an electronic document already posted to the channel is selected by a user in the communication service, cause the electronic document to be registered as the trail of the activity element associated with the channel.

Abstract: An early warning method and system for a regional public security management in a smart city based on the IoT are provided. The early warning method includes: sending, based on a sensing network sub-platform, a monitoring image of a target region to the management sub-platform; processing, based on a management sub-platform, the monitoring image to determine a risk index of the at least one target region; generating early warning information in response to the risk index of the target region greater than a first threshold, and sending the early warning information to the user platform through a general database of the management platform and the service platform; and obtaining a management instruction based on the user platform, and controlling, according to the management instruction, an unmanned aerial vehicle to go to the target region for monitoring.

Abstract: An information processing apparatus includes: an information management unit that registers boarding information on a user regarding boarding acquired by a check-in procedure of the user; and a deadline setting unit that, based on the boarding information, sets a deadline for a procedure of the user up to the boarding.

Abstract: An apparatus for automatic credential classification includes at least a processor and a memory that is communicatively connected to the processor, the processor configured to receive an attribute datum including a credential datum, and classify the credential datum to at least a required credential datum by training an attribute classifier using a credential training data wherein credential training data contains a plurality of data entries correlating required credential datum as an input to the required credential data as outputs and generating a credential classification datum, wherein credential classification datum is generated by classifying the credential datum to the required credential datum using the attribute classifier. Processor generates and stores an attribute match datum as a function of the credential classification datum.

Abstract: A system for interactive learning has a database of content, the content including spatial, temporal, material, psychological, moral, artistic, philosophical, scientific, and probability elements from which to create a story track. At least one software program is disposed on at least one computer system designed to calculate story vectors from which to craft stories and select learning objectives. A learning management system with at least one user interface is designed to allow at least one or more people to, via at least one or more of video, audio, and text, interact with at least one or more of the software program and people, people inclusive of audience members, characters, actors, clients, and moderators. The software program is designed to direct the story within degrees of freedom calculated from the story vectors to create new story vectors, the story vectors used to create one or more new story tracks.

Abstract: A risk management system (RMS) device includes a RMS database and a RMS processor. The RMS processor includes a prescriber module to receive a request to enroll a patient in a RMS program of a therapeutic agent associated with multiple indications. The request includes a specification of at least one indication, and a confirmation of a diagnostic test conducted on the patient. The RMS processor also includes a patient module configured to generate a patient profile. The RMS processor also includes a database module configured to store the patient profile in the RMS database. The RMS processor also includes an authorization module configured to generate an authorization code indicating whether the patient is authorized to receive the therapeutic agent. The RMS processor also includes a communication module configured to transmit the authorization code to a pharmacy or a prescriber.

Abstract: Systems and methods use machine learning models with content editing tools to prevent or mitigate inadvertent disclosure and dissemination of sensitive data. Entities associated with private information are identified by applying a trained machine learning model to a set of unstructured text data received via an input field of an interface. A privacy score is computed for the text data by identifying connections between the entities, the connections between the entities contributing to the privacy score according to a cumulative privacy risk, the privacy score indicating potential exposure of the private information. The interface is updated to include an indicator distinguishing a target portion of the set of unstructured text data within the input field from other portions of the set of unstructured text data within the input field, wherein a modification to the target portion changes the potential exposure of the private information indicated by the privacy score.

Abstract: Systems, methods, and computer-readable media for managing a plurality of sprints using a plurality of electronically linked boards are disclosed. A low-level board with rows and columns is generated, containing sprint-related function data associated with the plurality of sprints. At least one internal column and at least one external column are generated on the low-level board, for linking to an associated high-level board. Group-by controls are presented, and in response to activation of an internal control, rows on the low-level are organized board into first groups based on common internal column data. In response to activation of the external control, rows on the low-level board are reorganized into second groups by common external column data. Links to the at least one associated high-level board are accessed on the low-level board, and data from the at least one associated high-level board is extracted and imported onto the low-level board.

Abstract: A computer-implemented method, computer program product and computing system for: defining a plurality of known error types within a payroll platform for use within an automotive space; obtaining performance information for a plurality of performance-based employees within the automotive space; and processing the performance information based, at least in part, upon the plurality of known error types to identify one or more errors within the performance information.

Abstract: A computer-implemented method, computer program product and computing system for: enabling a user to define a first compensation plan for one or more performance-based employees within an automotive space; enabling the user to define a second compensation plan for the one or more performance-based employees within the automotive space; and comparing the first compensation plan to the second compensation plan to determine one or more differential characteristics for the second compensation plan with respect to the first compensation plan.

Abstract: A system, method, and apparatus for creating and managing smart contracts on a blockchain is provided. A method includes detecting, by the computing system, a code language of the smart contract code, wherein each of a plurality of code languages is associated with at least one of a plurality of blockchain platforms; determining, by the computing system, based at least partially on the code language of the smart contract code, an optimal blockchain platform to deploy the smart contract onto, the optimal blockchain platform being one of the plurality of blockchain platforms associated with the detected code language, the smart contract code capable of being deployed onto two or more blockchain platforms; compiling, by the computing system, the smart contract code based on the determination of the optimal blockchain platform so as to generate smart contract byte code and metadata; and deploying, by the computing system, the smart contract byte code to the optimal blockchain platform.