Abstract: An operational efficiency promoting apparatus that calculates a skill index indicating a skill level related to an operation of a user, based on an operation log of the user on an operation terminal, the operational efficiency promoting apparatus includes a memory; and a processor configured to execute storing the operation log obtained from the operation terminal in the memory; and—calculating the skill index corresponding to each of a plurality of factors based on the operation log read from the memory.

Abstract: The disclosed exemplary embodiments include computer-implemented systems, apparatuses, and processes that manage cryptographically secure exchanges of data using a permissioned distributed ledger. For example, an apparatus obtains parameter values characterizing an exchange of data and transmits the parameter values to a first computing system, which executed instructions included within a distributed ledger. The executed additional instructions cause the first computing system to access rules data recorded onto the distributed ledger and establish a consistency between the parameter values and at least a portion of the accessed rules data. The apparatus receives, from the first computing system, confirmation data indicative of the established consistency, and based on the confirmation data, transmit a request to execute the data exchange in accordance with at least the portion of the parameter values to a second computing system.

Abstract: The present disclosure describes various aspects of remote presence interfaces (RPIs) for use on portable electronic devices (PEDs) to interface with remote presence devices. An RPI may allow a user to interact with a telepresence device, view a live video feed, provide navigational instructions, and/or otherwise interact with the telepresence device. The RPI may allow a user to manually, semi-autonomously, or autonomously control the movement of the telepresence device. One or more panels associated with a video feed, patient data, calendars, date, time, telemetry data, PED data, telepresence device data, healthcare facility information, healthcare practitioner information, menu tabs, settings controls, and/or other features may be utilized via the RPI.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for workload automation and job scheduling information. One of the methods includes obtaining job dependency information, the job dependency information specifying an order of execution of a plurality of jobs. The method also includes obtaining data lineage information that identifies dependency relationships between data stores and transformation, wherein at least one transformation accepts data from a first data store and produces data for a second data store. The method also includes creating links between the job dependency information and the data lineage information. The method also includes determining an impact of a change in a planned execution of an application of the plurality of applications based on the job dependency information, the created links, and the data lineage information.

Abstract: A system and method for linking observed human activity on video to a user account of a preferred embodiment that includes: through a computer vision monitoring system, detecting and tracking a human as a computer vision modeled person within an environment, the computer vision monitoring system being part of a computing platform managing a user interaction experience; through at least one associative mechanism, establishing an association between the computer vision modeled person and at least one associative element and thereby associating the computer vision modeled person and a user-record linked through the associative element; and directing the user interaction experience at least in part based on the combination of the modeled person and at least the user-record.

Abstract: Various examples of methods and systems are provided for improved predictive analytics. In one example, a method of managing operation of an asset or group of assets of interest includes comparing a generated prediction with one or more prediction range associated with a risk profile assigned to an operational outcome of interest, presenting a notification to an operator in response to the comparison, and incorporating operator-generated input as updated source data for the generation of subsequent predictions. The operator-generated input can comprise an operator-defined selection such as, e.g., acceptance of the notification, or rejection of the notification. The operator-generated input can provide real time or near real time information based upon context-specific knowledge that the operator holds that is substantially independent of historical source data.

Abstract: Various embodiments of the present invention involve systems, methods, and computer program products utilized in facilitating alternative delivery options for customers. In certain embodiments, a consignee may meet a driver and receive an item at a location different from the delivery address associated with the item. The receipt of the item may be prior to the driver attempting to deliver the item to the designated shipping location or after an unsuccessful delivery attempt. The carrier, the driver, the carrier system, the mobile station, and/or the sensors located on the item may communicate with the consignee to arrange a mutually acceptable time and location to accomplish the delivery. In certain embodiments, the consignee may be responsible for arriving at a dynamic delivery location to retrieve the item while the driver is at the location performing other tasks.

Abstract: A method and a system for predicting business outcomes by analyzing voice data of users are provided. The method includes generation of predictor models based on test data of test users. The test data includes historical data of the test users, voice samples of the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes based on target data of a target user. The target data includes voice samples of the target user, historical data of the target user, and answers provided by the target user to the psychometric questions.

Abstract: Disclosed herein are system, method, and device embodiments for implementing location identification in multi-factor authentication (MFA). In an example embodiment, a user service may present a geographic map based on a MFA process, and receive an authentication attempt including a geographic indicator and interaction information. Further, the system may determine whether the authentication attempt was made by a human based at least in part on the interaction information, determine whether the geographic indicator matches an expected response, and send, to an electronic device, an authentication result indicating whether geographic information was determined to be selected by a human and the geographic indicator was determined to match the expected response.

Abstract: In one embodiment, a method comprises receiving, via a mobile station, contextual information or geographic location data relating to a plurality of members of the population within the geographic region, identifying a common element in the received contextual information relating to at least two members of the population as a basis for defining a geofence to include the at least two members, wherein the common element is identified upon a comparison of the first and second contextual information, and defining the boundary of the geofence.

Abstract: Techniques for creating a text classifier machine learning (ML) model are described. According to some embodiments, a language processing service finetunes a language ML model on unlabeled documents of a user, and then trains that finetuned language ML model on labeled documents of the user to be a text classifier that is customized for that user’s domain, e.g., the user’s documents. Additionally, the finetuned language ML model may be trained on labeled documents of the user, for prediction objectives for unlabeled data, before being trained as the text classifier.

Abstract: Various embodiments are generally directed to techniques utilizing computers to process service billing data, generate one or more groups of customers based on one or more attributes of the data, and train a recurrent neural network (RNN) to predict future bill amounts for customers. Embodiments further include techniques to predict the future bill amounts of the customers and providing an indication of the bill amounts to the customers.

Abstract: Methods and apparatus to monitor media presentations are disclosed. Disclosed example apparatus include memory, instructions, and at least one processor to execute the instructions to at least receive demographic information from a user, transmit the demographic information to a central facility, cause storage of a consent identifier in a pasteboard of the media device, the consent identifier accessible to a first instrumented application and a second instrumented application executed in a sandbox environment, the consent identifier to indicate to the first instrumented application and the second instrumented application that monitoring is allowed, access the consent identifier from the pasteboard, present media, generate monitoring information if the consent identifier permits collection of monitoring information, not generate monitoring information if the consent identifier does not permit the collection of the monitoring information, and transmit the monitoring information to the central facility.

Abstract: A method for audience recommendation using node similarity in combined contextual graph embeddings can include receiving a merchant identifier of a merchant and generating one or more merchant tags describing merchant data corresponding to the merchant. A set of audience embeddings can be generated from a set of audience auxiliary data using an audience taxonomy and a set of merchant embeddings can be generated from the merchant data relating to the merchant using the one or more merchant tags. The set of audience embeddings and the set of merchant embeddings are used to produce a heterogenous information network of combined audience data and merchant data, which is then analyzed to identify relationships between each audience and the merchant. A score for one or more audiences can be determined based on the relationships between the one or more audiences and the merchant.

Abstract: Provided are a method and apparatus for generating a bundle invitation link. The method includes obtaining a plurality of invitation links from a first user terminal, each of the plurality of invitation links being connected to at least one community, generating a bundle invitation link connected to a detail page, the detail page including the plurality of invitation links, transmitting the bundle invitation link to a second user terminal, causing a display of the second user terminal to display the detail page in response to receiving, from the second user terminal, an input corresponding to the bundle invitation link, and receiving a data pair from the second user terminal, the data pair including at least one invitation link and an identification value of the second user terminal, and the at least one invitation link being selected from among the plurality of invitation links included in the detail page.

Abstract: Embodiments are directed to methods and systems for determining the identity of a user as a person or a robot. In some embodiments, the methods and systems engage a web browser to produce a token and calculate a computation cost associated with the token production. The methods and systems use the computation cost to prove that the web browser on a device not handicapped by the computational challenge of producing tokens, which would handicap a robot. In some embodiments, the methods and systems generate a cookie based on a confirmed user purchase, and record the user identity contained in the cookie at a block chain to identify the user as a verified purchaser. The methods and systems may later retrieve the cookie and search the block chain using the user identity contained in the cookie. By locating the user identity in the block chain, the methods and systems know that the user is a verified purchaser, indicating the user to be a person, as robots cannot make purchases.

Abstract: A method for efficiently scaling a container-based application that provides a plurality of services includes deploying the container-based application in a distributed computing system. The plurality of services may be deployed using at least one container. The method may additionally include monitoring a utilization level associated with the at least one container. In response to detecting a trigger condition that is based at least in part on the utilization level, the method may additionally include modifying how many containers are deployed for the plurality of services.

Abstract: A system and method for securing authenticated communication through a device that is able to trigger an offline physical event through an online communication process.

Abstract: Content-specific URLs (CSURLs) are efficiently created to identify documents and intended visible content (Intended Content) within the documents that may be the whole of or only parts of the documents. The Intended Content of CSURLs can be affected, e.g. in the live web, by linkrot or content modification. Activation of CSURLs in conventional user agents (e.g. web browsers) results in automatic opening of underlying documents and/or offers to upgrade to a more capable user agent. Activation of CSURLs in a capable user agent result in automatic finding and distinguishing, e.g. by highlighting and scrolling, of matching content, which is robust in many circumstances wherein Intended Content has been non-trivially altered.

Abstract: Systems and methods capable of providing customized business processes, such as with regard to intermediate business transaction documents, within a standard business process flow system.

Abstract: Systems and methods are described for detecting and determining information regarding substance transfer stations and for providing the information to users of an online platform in order to permit the users to make informed choices regarding which station to visit for vehicular loading or unloading of a carried substance. The systems and methods may be suitable for detecting and determining information regarding saltwater disposal stations in an oilfield region.

Abstract: A method is provided to produce a custom calendar user interface (UI) display on an electronic device display screen comprising: providing a search query to a user device; sending the search query over the network to a server system; receiving over the network by one or more user devices from a server system, information that identifies one or more code objects that match the search query; using the identified one or more identified code objects by the one or more user devices to generate one or more visual content items within a calendar user interface (UI) grid display on their device display screens.

Abstract: Prediction models for managing viewership data are disclosed. An amount of time users are displayed content is initially obtained. The obtained amounts may be for each content distributor that distributes channels, for each of the channels with respect to which sets of content are displayed, for each of the sets that comprises content displayed during past periods, and for each of the displayed content. A set of features associated with each of the displays is obtained and a target period is selected from among the past periods. A model is used to predict an amount of time users were displayed content during the target period, for each of the sets, channels, and distributors, based on the obtained sets of features associated with the displays during the target period and on the obtained amounts for the displays during the past periods that precede the target period.

Abstract: Techniques are provided for auditing individual object operations as multiple file system operations. In an example, a client computer sends an object storage operation to a server that is configured to store data in a file system. The server receives the object storage operation, and converts it to one or more corresponding file system operations. The server opens an audit file context that identifies the object storage operation. As a file system driver reports that it has completed various file system operations corresponding to the object storage operation, the server appends an identification of the object storage operation, as determined from the audit file context, to an audit log entry for that file system operation.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for increasing dimensionality of data structures associated with filling positions. In some implementations, a prediction of desired experience for a given position to be filled may be used to increase the dimensionality of a searchable data structure that represents the given position. For example, the predicted desired experience may be incorporated into a searchable field of the data structure. Among other things, increasing the dimensionality of the data structure may facilitate more granular searching of positions and guided creation of new positions to be filled. In some implementations, a predicted desired experience may be used to notify a user posting a new position whether a specified desired experience corresponds to a predicted desired experience.

Abstract: A system for providing golf information, the system which includes a green photographing unit for photographing an image of an area including a green on a golf course and communicatively connected to a communication network to transmit green image data to an outside, a golfer terminal that is carried by a golfer on the golf course and communicatively connected to a communication network to transmit golfer position data to the outside, and an information providing server that is communicatively connected to the communication network to generate golf information using the green image data and the golfer position data and transmit the generated golf information to the golfer terminal.

Abstract: Disclosed are methods and systems for enabling a package of assertions to be provided to a relying entity seeking to interact with an account. A server computer may receive, from a relying entity, a request for assertions, wherein the request for assertions includes an identifier of the relying entity and a hash of an identifier of an account. The server computer may determine an assertions model based on the identifier of the relying entity. The server computer may retrieve a package of assertions associated with the account based on the assertions model and the hash of the identifier of the account. The server computer may transmit the package of assertions to the relying entity.

Abstract: Methods and systems are disclosed that generate life scores for individuals based on various information associated with the individuals. For example, life scores may be based on data associated with several aspects of the individual's life, such as work, family, hobbies, education, etc. The life scores may be generated in realtime and/or periodically and provided to the individual and/or shared with others in various formats.

Abstract: A computer implemented method of managing consent for sharing data, the method comprising: storing data sharing preferences for a data subject in relation to data held by a plurality of data controllers; receiving a data share request from a requestor to obtain personal data relating to the data subject and held by one or more of the data controllers; comparing the data share request to the data sharing preferences of the data subject; and for each of the one or more data controllers: instructing the one or more data controllers to share the personal data with the requestor, or rejecting the data share request, in dependence on the comparison.

Abstract: In some examples, the validation controller may comprise a processing resource and a memory resource storing machine readable instructions to cause the processing resource to perform a number of actions. In some examples, the validation controller may determine functional capabilities for a topology that includes a plurality of devices to be configured by the validation controller. The validation controller may compare a configuration element for the plurality of devices to the functional capabilities for the plurality of devices. The validation controller may validate the configuration element based on the comparison. The validation controller may also push the configuration element to the plurality of devices when the configuration element is validated.

Abstract: A method and system for identifying and classifying Visitor Information tracked on websites to identify Internet Service Providers (ISPs) and non-Internet Service Providers (non-ISPs). The technology employs machine intelligence to train a classifier on firmographically-enriched Visitor Intelligence from website tracking technology. The ISP classifier can distinguish ISPs from non-ISPs to identify website traffic for a given website that is attributable to ISPs.

Abstract: A prediction engine may use the user behavior data of a user as collected by user devices to assist the user with obtaining products and services. The prediction engine may predict that a user desires to obtain a product or a service from a vendor based on user behavior data collected by applications on one or more user devices. The collected user behavior data may include a conversation of the user with one or more other persons. The prediction engine may trigger an application on a user device to prompt the user to confirm that the user requests to proceed with obtain the product or the service from the vendor. The prediction engine may notify the vendor to provide the product or the service to the user in response to receiving a confirmation from the user that the user requests to proceed with obtaining the product or the service.

Abstract: One example disclosed method involves a computing system providing a client device a virtualized computing environment. Upon receiving a request to access a file or folder in the virtualized computing environment from the client device, a file system filter driver of the computing system may intercept the request, and determine authorization to access the file or folder based at least in part on a security policy associated with the user account. If the client device is authorized to access the file or folder, the computing system may cause the client device to output a representation of contents of the first file or folder using the virtualized computing environment.

Abstract: A computer-implemented method comprising: receiving, by a computing device, user input defining a workflow; receiving, by the computing device, information defining schemas at convergence points in the workflow; determining, by the computing device, a set of mapping parameters at outputs of nodes of the workflow based on the schemas; receiving, by the computing device, input values to the mapping parameters; storing, by the computing device, the input values to the mapping parameters in a structure corresponding to the schemas; and executing, by the computing device, the workflow based on the input values to the mapping parameters, wherein the executing includes invoking one or more applications residing on one or more application servers through application programming interface (API) calls.

Abstract: A Mobile Lawyer system includes a 360 degree HD video camera configured for mounting on a vehicle; a display screen configured for mounting inside the passenger compartment of a vehicle; and a Mobile Lawyer App downloaded and installed on a mobile telephone in communication with the video camera and display screen, configured, upon command from a user, to notify an attorney located remotely via a cellular and/or computer network, and to display a video image of the remote attorney on the display screen (or the screen of the mobile telephone), and to live-stream a 360 degree video captured by the video camera to the Internet for viewing by the remote attorney and for cloud storage. The introduction of a lawyer on-demand into a police encounter can help to defuse and de-escalate the situation. The lawyer can serve as a live observer, witness, and intermediary who can provide live legal guidance to the user.

Abstract: A web application is initiated with a server device. A share component of the web application is received. A connection with a receiver device is initiated. The share component is pushed to the receiver device. An updated share component is received from the receiver device. The updated share component is a modified version of the share component. The updated share component is pushed to the server device.

Abstract: A method for coordinated control of a renewable electrical energy source (RES) and an electrical energy storage (EES) device utilizes a time-dependent forecast of electrical energy production by the RES and a state of charge (SOC) schedule for the EES including at least one SOC target value. A time-varying charge/discharge control signal is configured to ensure that the SOC schedule is satisfied by charging at a rate necessary to meet the SOC target value, while periodically updating the generation of the charge/discharge control signal based upon an updated time-dependent forecast of electrical energy production and/or an updated SOC schedule. A configurable refresh period may be used to limit updates of the time-varying control signal including computation and use of a new basepoint value for aggregated energy supplied from the RES-ESS facility to an electrical grid.

Abstract: In optimizing net change data replication across a plurality of transactions in a replication environment, a source replication engine at a source database system: obtains a window in a source database log for the net change data replication; for a given row identifier found in the source database log, identifies an initial operation and a latest operation across the plurality of transactions within the window; compares the initial operation and the latest operation for the given row identifier to determine a net change to a row associated with the given row identifier; and stores the net change as a final operation on the given row identifier in an optimization repository for replication to a target database. The operations stored in the optimization repository are then sent to a target database system for replication to the target database.

Abstract: A method of using a proxy network to normalize online connections uses a global proxy network (GPN) to manage connections between a plurality of local proxy clients and a destination server. First, an optimization process is executed for the overall network connection between each local proxy client and the destination server. The latency of each optimized connection are then examined to determine a normalization point, which corresponds to the highest latency among the optimized connections. The rest of the connections are then adjusted to conform to the normalization point by adding latency to the connections to match the latency of the normalization point.

Abstract: A joint system for use with a plurality of bows in an uplift of a tarpaulin system having a joint and a base insert with, a body component with a first base end and a second base end, a third coupling member extending from the first base end, the third coupling member adapted to releasably engage with a free end of one of the plurality of bows, a fourth coupling member fixed to the second base end, the fourth coupling member adapted to be securable to a component of the uplift, and a third support extending from the first base end proximate the third coupling member for engaging with the bow releasably secured with the third coupling member.

Abstract: A system and method for an ordering system whereby a first user may remotely purchase goods and services from a second user by live stream video chat whereby the second user may then transmit the order to an establishment or other location, allowing first users to interact and connect with another person in a pleasant manner via video chatting, such as enabling the first user to order from a remote location to the second user who also may be at another location with respect to the establishment.

Abstract: An energy efficiency data collection system architecture may be configured to enable efficient and accurate collection of energy efficiency data associated with users and/or sites associated with users and generation of profiles associated with the users based on the energy efficiency data. An energy efficiency data collection service may receive location information, image data, and user-input data from an application operating on a mobile device associated with a user. The energy efficiency data collection service may generate profiles based on the information received from the application and may provide incentives to the users in response to participating in an energy efficiency data collection survey.

Abstract: In accordance with an embodiment, described herein are systems and methods for enabling multiple parents with weights in a multidimensional database. An exemplary system can comprise a computer that includes one or more microprocessors, and a multidimensional database server executing on the computer, wherein the multidimensional database server supports at least one hierarchical structure of data dimensions. A data dimension can comprises a plurality of members, a first set of members being a first level, and a second set of members being at a second level. A member of the second set of members at the second level can comprises two or more member-member relationships with two or more members of the first set of members at the first level. Each of the two or more member-member relationships are associated with a weight.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for a web-based process to generate electronic checklists and deploy electronic checklists. One method may include: receiving bulk data from a user device; parsing the bulk data to form a loadable database for an electronic procedure system of a vehicle; generating a rendering of an electronic checklist of one or more electronic checklists based on the loadable database; transmitting a first message to the user device, the first message including the rendering of the electronic checklist; iteratively performing an authoring process using a web-based tool to update the loadable database; receiving a second message from the user device, the second message including an instruction to transmit the updated loadable database to the electronic procedure system of the vehicle; and transmitting a third message to the vehicle, the third message including the updated loadable database.

Abstract: A method, computing system, and computer program product are provided. Items at a source location are detected and classified, with respect to fragility and perishability, based on characteristics of the each respective item and is performed by trained machine learning models. Item boundaries are predicted based on applying respective data regarding points on a surface of the each respective item to a trained second machine learning model to predict the item boundaries. The each respective item is classified into a respective group with respect to an available volume of the cargo space based on sensor data of the cargo space, the classified fragility and perishability, the predicted item boundaries, and a third machine learning model. An arrangement of the items in the cargo space is determined based on the group classifications and a corresponding destination location associated with the each respective item and is visualized relative to the cargo space.

Abstract: A method includes displaying on a graphic user interface (GUI) of a computing device of a user, a log of computing operations performed by the user at computing terminals of entity servers respectively managed by entities. The user uses a unique authorization identifier provided by the authorizing entity to authorize the computing operations at the computing terminals of the entity servers. The user provides a fraud indication through the GUI that at least one computing operation in the log is fraudulent. Memory jogging visual units are displayed on the GUI to the user that cause the user to recall performing the at least one computing operation identified as being fraudulent. An entry of the at least one computing operation in an operation database is marked as a valid operation authorized by the user when receiving a recognition indication and potentially fraudulent when no recognition indication by the user.

Abstract: Roughly described, an evolutionary data mining system includes at least two processing units, each having a pool of candidate individuals in which each candidate individual has a fitness estimate and experience level. A first processing unit tests candidate individuals against training data, updates an individual's experience level, and assigns each candidate to one of multiple layers of the candidate pool based on the individual's experience level. Individuals within the same layer of the same pool compete with each other to remain candidates. The first processing unit selects a set of candidates to retain based on the relative novelty of their responses to the training data. The first processing unit reports successful individuals to the second processing unit, and receives individuals for further testing from the second processing unit. The second processing unit selects individuals to retain based on their fitness estimate.

Abstract: Various embodiments are generally directed to techniques for dynamically integrating ML functionality into computing systems, such as a content services platform (CSP), for instance. Many embodiments include ML integrated into a CSP and using production content as corpora (e.g., training and/or evaluation data). Some embodiments are particularly directed to generating and updating data for training and evaluating machine learning (ML) models, then making identified ML models available in various target environments. For example, embodiments may provide automatic, or semi-automatic, updating and deploying of ML models for making inferences, such as inferring labels for data in a content repository of a CSP.

Abstract: A mobile phone connected to a tracking system detects the presence of a nearby tracking device. If the tracking device is detected for more than a threshold amount of time, the tracking system can instruct the mobile phone to generate a user notification prompting a user to claim ownership of the tracking device. After the user claims ownership of the tracking device, the mobile device provides the ownership claim to the tracking system which can associate the tracking device with that user's account in the tracking system, enabling the user to access features of the tracking device and tracking system reserved for owners of that tracking device.

Abstract: A system and method for real-time geophysical social grouping comprising customer profiles and venue profiles, wherein the profiles comprise expressed and inferred attributes, and a social grouping and recommendation server which utilizes machine learning algorithms on the profiles to generate recommendations for social group pairing, venues, and activities. Attribute matching provides optimized grouping between customers who share certain commonalities while also providing venues a system for locating and attracting ideal customers. Machine learning algorithms may be used to analyze profile attributes and identify patterns of commonality that would not otherwise be recognized. This system allows patrons to meet, dine, and socialize with one or more matched individuals at a venue that satisfies all participants preferences and attributes.