45th week of 2021 patent applcation highlights part 48 |
Patent application number | Title | Published |
20210350245 | POINT AUTOENCODER, DUAL AUTOENCODER, AND DIMENSIONAL TRANSFORMATION METHOD OF POINT CLOUD USING SAME - The present disclosure provides a point autoencoder including an encoder receiving a 3D point cloud and extracting a global feature and a decoder reconstructing the 3D point cloud from the global feature; a dual autoencoder including the point autoencoder; and a method for dimensional transformation of a point cloud using the dual autoencoder. According to the present disclosure, it is possible to extract features from an input point cloud using a Bias-Induced Decoding (BID) layer, perform reconstruction of a 3D point cloud from the corresponding feature information, and reconstruct a 3D point cloud by using only high-dimensional global features as an input. Also, the present disclosure reduces the amount of storage space used and reduces computational complexity than the conventional structure employing a fully connected layer. | 2021-11-11 |
20210350246 | ALTERING MOTION OF COMPUTER SIMULATION CHARACTERS TO ACCOUNT FOR SIMULATION FORCES IMPOSED ON THE CHARACTERS - The reaction to randomized forces that are imposed on a ragdoll computer simulation character are learned by a neural network such as a generative adversarial network (GAN) as the forces are applied to the character and the character attempts to return to an initial character configuration. | 2021-11-11 |
20210350247 | HYBRID DECISION TREE MACHINE LEARNING SYSTEMS AND METHODS - Disclosed are implementations of systems and methods for generation and execution of hybrid decision trees for machine learning systems and processing environments. The systems include a data processing system for a computer memory, comprising means for configuring a memory device according to a hybrid decision tree, said hybrid decision tree including a plurality of nodes, each node comprising at least one directional associative link to or from another node, each node associated with a function performed on an input variable, wherein each directional associative link is agnostic to a hierarchical layer of the associated nodes in the hybrid decision tree; and means for executing functions associated with each node of the hybrid decision tree according to the corresponding directional associative links. | 2021-11-11 |
20210350248 | Visualizing Cybersecurity Incidents Using Knowledge Graph Data - Information for a knowledge graph is accessed. The knowledge graph has nodes and edges of a network and has information about security incident(s) in the network. Related entities from the knowledge graph are grouped together, where the related entities that are grouped together are determined not only by types of the entities, but also by threat(s) impacting the entities. The threat(s) correspond to the security incident(s). The grouped related entities are arranged in visualization data in order that the visualization data are configured to provide a visualization of the knowledge graph with the grouped related entities. The visualization data are output. Methods, apparatus, and computer program products are disclosed. | 2021-11-11 |
20210350249 | AGRICULTURAL ASSISTANCE SYSTEM - An agricultural assistance system having a driver assistance system for controlling a prime mover, such as a tractor, and/or an attachment is disclosed. The agricultural assistance system generates control parameters for the prime mover and/or for the attachment. The driver assistance system includes an input/output unit for communication with a user. The driver assistance system includes a rule interpreter that generates the control parameters by processing rules from the sets of rules. The agricultural assistance system also includes a rule generator for creating and/or editing the sets of rules, with the rule generator generating a user interface through which to create and/or edit the sets of rules. Specifically, users can create or edit the sets of rules via a browser of the rule generator. The rule generator further can include user administration functionality in which access rights of individual users to the sets of rules are defined. | 2021-11-11 |
20210350250 | USING MACHINE LEARNING TO DYNAMICALLY DETERMINE A PROTOCOL FOR COLLECTING SYSTEM STATE INFORMATION FROM ENTERPRISE DEVICES - A method includes receiving data collected from a plurality of managed devices in a plurality of data collections. The data collections are performed using a plurality of collection protocols. A trigger that generated each of given ones of the data collections is determined. The method further includes identifying a collection protocol of the plurality of collection protocols used for each of the given ones of the data collections, and determining one or more attributes of a plurality of attributes of the plurality of managed devices that have been collected using given ones of the collection protocols. A mapping is generated between the triggers, the collection protocols and the attributes using one or more machine learning algorithms. The generated mapping is used to predict one or more collection protocols of the plurality of collection protocols to use to collect data from one or more of the managed devices. | 2021-11-11 |
20210350251 | USING A MACHINE LEARNING MODULE TO RANK TECHNICAL SOLUTIONS TO USER DESCRIBED TECHNICAL PROBLEMS TO PROVIDE TO A USER - Provided are a computer program product, system, and method for using a machine learning module to rank technical solutions to user described technical problems to provide to a user. A solutions database is searched to determine a result set of answer files having keywords related to keywords of a technical problem in a user description. The result set of answer files, the user description of the technical problem, user profile information, and technical specifications of the computing system are provided as input to a machine learning module. The machine learning module outputs ranks of the answer files in the result set. A subset of answer files in the result set is selected based on ranks of the answer files in the result set and returned to the user. | 2021-11-11 |
20210350252 | SOFTWARE CATEGORIZATION BASED ON KNOWLEDGE GRAPH AND MACHINE LEARNING TECHNIQUES - Methods and systems are provided for determining the category of a software application utilizing machine learning (ML) and knowledge graph techniques, and for controlling access to the application by a user based on the category and configured time restrictions for the user. The system includes a feature set extractor and a category predictor with a trained ML model. The trained ML model generates the category of the application based on a feature(s) of the application. The generated category is indicated in a data structure. An access request handler receives a request related to access to the application from a user device. A category determiner determines the category of the application from the data structure. A time usage manager determines an available time usage for the category and the specified user. The access arbiter responds to the request from the user device with the available time usage. | 2021-11-11 |
20210350253 | AUTOMATIC MAPPING OF RECORDS WITHOUT CONFIGURATION INFORMATION - A method, a computer system, and a computer program product for mapping operational records to a topology graph. Embodiments of the present invention may include generating an event frequent pattern using operational records. Embodiments of the present invention may include integrating topology-based event frequent patterns. Embodiments of the present invention may include mapping the operational records with an embedding engine. Embodiments of the present invention may include predicting incident events. Embodiments of the present invention may include receiving labeled patterns to the embedding engine for an active learning cycle. | 2021-11-11 |
20210350254 | CROSS IN-DATABASE MACHINE LEARNING - Techniques for implementing cross in-database machine learning are disclosed. In some example embodiments, a computer-implemented method comprises training a machine learning model in a first database instance using a machine learning algorithm and a training dataset in response to receiving a request to train, serializing the trained machine learning model into a binary file in response to the training of the machine learning model, recreating the trained machine learning model in a second database instance using the binary file in response to receiving a request to apply the machine learning model, and generating an inference result by applying the recreated trained machine learning model on the inference dataset in the second database instance. | 2021-11-11 |
20210350255 | SYSTEMS AND METHODS FOR DETERMINING DEVELOPED CODE SCORES OF AN APPLICATION - Disclosed are systems and methods for determining developed code scores of an application. The method may include: receiving, by a processor, one or more first score tags of one or more first blocks of developed code from a user through a computing device; identifying, by the processor, patterns in the developed code based on the received one or more first score tags; applying, by the processor, the identified patterns to one or more second blocks of the developed code; and determining, by the processor, one or more second score tags for the one or more second blocks of the developed code based on the applied patterns. | 2021-11-11 |
20210350256 | MEASURING RISK WITHIN A MEDIA SCENE - Measuring risk intensity level of a scene captured within media is provided. A score is generated, using a computational scoring model, for each risk type, cause, and evidence taxon element described in a risk taxonomy corresponding to a scene class by matching one or more taxon elements with each attribute of each detected object of a set of detected objects within the scene captured by the media. The media of the scene is tagged with risk type, cause, and evidence scores of each taxon element of the risk taxonomy corresponding to the scene class. A risk intensity level of the scene is calculated based on the risk type, cause, and evidence scores tagged to the medias. An action of a set of defined actions is performed based on the risk intensity level of the scene. | 2021-11-11 |
20210350257 | SYSTEMS AND METHODS FOR SCORING USER CONVERSATION SATISFACTION - A system for scoring user conversation satisfaction. The system comprises one or more memory devices storing instructions, and one or more processors configured to execute instructions to perform operations. The operations comprising receiving data corresponding to a conversation between the user and a third-party service provider. The operations further comprising parsing the data into conversation subsets, and analyzing each respective subset with a first model, the operations further comprising determining a user conversation satisfaction score based on the first model analyzed subset; storing, in a database, the parsed data subsets, and the determined conversation satisfaction score; and training a second model with the data stored in the database. | 2021-11-11 |
20210350258 | Systems and Methods for Machine Learning based Rule Discovery for Data Migration - Systems and methods for deriving classification rules from documents and a database using rule-based machine learning. The method includes extracting first variables from documents corresponding to an organization. The method further includes extracting second variables from a database corresponding to the organization. The method also includes filtering the extracted second variables based on at least one of null values, repeat variables, location variables, ID variables, or data variables. The method further includes deriving first classification rules based on the first variables using a rule-based machine learning algorithm. The method also includes calculating an accuracy of the derived first classification rules. The method also includes deriving second classification rules based on the first variables and the filtered second variables. The method further includes determining a suggested additional variable based on the derived second classification rules and the calculated accuracy. | 2021-11-11 |
20210350259 | DATA PROCESSING SYSTEMS AND METHODS TO PROVIDE DECISION SUPPORT - A method for determining present or future trends, and providing a recommendation based on those trends includes receiving raw data from one or more sources, where the raw data is data which has not been cleaned or normalized, cleaning and normalizing the raw data, creating historic data via machine learning, comparing the cleaned and normalized data with the historic data, generating a model based on the compared cleaned and normalized data and the historic data, wherein the model generates one or more determinations, and providing the one or more determinations for use by a recommendation engine or a user. Additionally, a method of collecting specific data includes receiving a survey and additional information provided by a panelist on a mobile application, filtering and organizing the panelists, storing the collected information, providing the stored data to a server for cleaning and normalizing, and providing the panelist with rewards. | 2021-11-11 |
20210350260 | DECISION LIST LEARNING DEVICE, DECISION LIST LEARNING METHOD, AND DECISION LIST LEARNING PROGRAM - The input unit | 2021-11-11 |
20210350261 | LEARNING-TYPE REAL SPACE INFORMATION FORMATION SYSTEM - A learning-type real space information generation system uses sensor data that can be efficiently uploaded from an information terminal device to a server, and which is capable of generating highly accurate real space information. A plurality of information terminal devices and a server are connected via in a communicable state via a network. The control unit of each information terminal device controls a transmission unit, based on the importance of elements configuring real space information, the importance being determined by an importance determination unit of the server such that sensor data corresponding to an element configuring the real space information and having high importance is preferentially transmitted. The generation unit of the server uses a feature model to generate real space information, based on elements configuring real space information and having high importance extracted by an extraction unit from the most recent sensor data received by a reception unit. | 2021-11-11 |
20210350262 | AUTOMATED DECISION PLATFORM - A computer system receives a set of user-defined rules are that useable by a computer service to automate a decision flow. The computer system generates a graph model from the user-defined rules. From the graph model, the computer system determines an input dependency model that is indicative of a set of inputs referred to in the graph model. The input dependency model is useable by an orchestrator to coordinate accesses to the one or more data stores in which the set of inputs is stored. The computer system receives the set of inputs and determines one or more automated decisions by applying the set of inputs to the graph model. | 2021-11-11 |
20210350263 | METHODS FOR ORCHESTRATING AN AUTOMATED CONVERSATION IN ONE OR MORE NETWORKS AND DEVICES THEREOF - A virtual assistant server receives an utterance from an input mechanism. Upon receiving the utterance, the virtual assistant server, evaluates the utterance to identify a plurality of intents corresponding to the utterance and calculates common scores using natural language processing techniques for each of the identified plurality of intents. The virtual assistant server ranks the identified plurality of intents based on the calculated common scores and based on the ranking identifies a first winning intent and a second winning intent. Subsequently, the virtual assistant server prioritizes one of the first winning intent or the second winning intent to identify a final winning intent based on context information. The virtual assistant server executes the final winning intent and forwards a response to the input mechanism. | 2021-11-11 |
20210350264 | METHOD FOR OBFUSCATED AI MODEL TRAINING FOR DATA PROCESSING ACCELERATORS - Embodiments of the disclosure discloses a method to obfuscate AI models. In one embodiment, a host communicates with a data processing (DP) accelerator to request an AI training by the DP accelerator. The DP accelerator (or system) receives an AI model training request from a host, where the AI model training request includes one or more model-obfuscation kernel algorithms, one or more AI models, and/or training input data. In response to receiving the AI model training request, the system trains the one or more AI models based on the training input data. In some embodiments, AI accelerator already has a copy of the AI model. After the AI models are trained, the system obfuscates, using the one or more model-obfuscation kernel algorithms, the one or more trained AI models. The system sends the obfuscated one or more trained AI models to the host. | 2021-11-11 |
20210350265 | APPARATUS AND METHOD FOR OPTIMIZING QUANTUM COMPUTATION - An apparatus for optimizing quantum computation according to an embodiment includes a block generation module that identifies a portion requiring quantum computation from an input problem and generates a quantum calculation block from the identified portion, a block map management module that stores and manages a quantum computation block map including the generated quantum calculation block information, and a calculator determination module that determines a quantum calculator, which is to execute the quantum calculation block, among a plurality of quantum calculators including one or more quantum simulators and one or more quantum computers. | 2021-11-11 |
20210350266 | SELECTIVE FREQUENCY SHIFTING OF QUBITS - A quantum computing system, a method, a computer program, and an arrangement for selectively shifting qubit resonance frequencies are disclosed herein. According to an embodiment, an arrangement for selectively shifting qubit resonance frequencies in a quantum computing system comprises a plurality of qubits including at least a first qubit and a second qubit, and a plurality of coupling control resonators including at least a first coupling control resonator and a second coupling control resonator. The arrangement also includes a coupling control signal line. The first coupling control resonator may be configured to shift the resonance frequency of the first qubit when the coupling control signal includes a frequency component in the resonance frequency band of the first coupling control resonator. | 2021-11-11 |
20210350267 | DATA PROCESSING APPARATUS AND DATA PROCESSING METHOD - A data processing apparatus is configured to solve a specific problem using a simple hardware. The data processing apparatus comprises a state data processing unit configured to iterate update of state data by a predetermined time evolutional process, a cost evaluation unit configured to evaluate a cost function for current state data, and an error calculation unit configured to calculate error values relating to amplitude homogeneity of the current state data, wherein the state data processing unit performs the time evolutional process on the state data to update the current state data based on the cost function and the error values which are calculated by the error calculation unit. | 2021-11-11 |
20210350268 | SYSTEMS AND METHODS FOR OPERATION OF A FREQUENCY MULTIPLEXED RESONATOR INPUT AND/OR OUTPUT FOR A SUPERCONDUCTING DEVICE - A superconducting readout system employing a microwave transmission line, and a microwave superconducting resonator communicatively coupled to the microwave transmission line, and including a superconducting quantum interference device (SQUID), may be advantageously calibrated at least in part by measuring a resonant frequency of the microwave superconducting resonator in response to a flux bias applied to the SQUID, measuring a sensitivity of the resonant frequency in response to the flux bias, and selecting an operating frequency and a sensitivity of the microwave superconducting resonator based at least in part on a variation of the resonant frequency as a function of the flux bias. The flux bias may be applied to the SQUID by an interface inductively coupled to the SQUID. Calibration of the superconducting readout system may also include determining at least one of a propagation delay, a microwave transmission line delay, and a microwave transmission line phase offset. | 2021-11-11 |
20210350269 | SYSTEMS AND METHODS FOR DEGENERACY MITIGATION IN A QUANTUM PROCESSOR - Degeneracy in analog processor (e.g., quantum processor) operation is mitigated via use of floppy qubits or domains of floppy qubits (i.e., qubit(s) for which the state can be flipped with no change in energy), which can significantly boost hardware performance on certain problems, as well as improve hardware performance for more general problem sets. Samples are drawn from an analog processor, and devices comprising the analog processor evaluated for floppiness. A normalized floppiness metric is calculated, and an offset added to advance the device in annealing. Degeneracy in a hybrid computing system that comprises a quantum processor is mitigated by determining a magnetic susceptibility of a qubit, and tuning a tunneling rate for the qubit based on a tunneling rate offset determined based on the magnetic susceptibility. Quantum annealing evolution is controlled by causing the evolution to pause for a determined pause duration. | 2021-11-11 |
20210350270 | INTEGRATING A CRYOSTAT THAT HOSTS QUBITS WITH ELECTRONICS FOR CONTROLLING THE QUBITS - A quantum computing system includes a cryostat to support a low-temperature vacuum environment during operation of the quantum computing system; a quantum processor positioned in the cryostat; a first electronic control module external to the cryostat; a second electronic control module within the cryostat; at least one optical transmission line connecting the first electronic control module external to the cryostat with the second electronic control module internal to the cryostat, the optical transmission line being configured to transmit optical signals to and from the second electronic control module during operation of the quantum computing system; and a plurality of signal lines connecting the second electronic control module with the quantum processor, a first subset of the signal lines being configured to transmit microwave signals to and from the quantum processor during operation of the quantum computing system. | 2021-11-11 |
20210350271 | PASSIVE HEIGHTENED NEED PREDICTION - There is a need for more effective and efficient heightened need prediction. In one example, a method comprises, during an online prediction phase: receiving incoming monitoring data associated with the user profile; performing anomaly reduction on the incoming monitoring data to generate anomaly-reduced incoming monitoring data; generating an incoming monitoring window based on the anomaly-reduced incoming monitoring data; processing the incoming monitoring window using a trained heightened need prediction machine learning model to determine a heightened need prediction for the incoming monitoring window; and in response to determining that the heightened need prediction is positive, performing one or more responsive actions by communicating with one or more client devices associated with the user profile. | 2021-11-11 |
20210350272 | SYSTEM AND METHOD FOR UTILIZING GROUPED PARTIAL DEPENDENCE PLOTS AND SHAPLEY ADDITIVE EXPLANATIONS IN THE GENERATION OF ADVERSE ACTION REASON CODES - A framework for interpreting machine learning models is proposed that utilizes interpretability methods to determine the contribution of groups of input variables to the output of the model. Input variables are grouped based on correlation with other input variables. The groups are identified by processing a training data set with a clustering algorithm. Once the groups of input variables are defined, partial dependent plot (PDP) tables for each group are calculated and stored in a memory, which are used for calculating scores related to each group of input variables for a given instance of the input vector processed by the model. Furthermore, Shapley Additive Explanations (SHAP) values for each group can be calculated by summing the SHAP values of the input variables for a given instance of an input vector per group. These scores can then be sorted, ranked for each interpretability method, and then combined into one hybrid ranking. | 2021-11-11 |
20210350273 | AUTOMATIC MACHINE LEARNING FEATURE BACKWARD STRIPPING - Features are used to train one or more ML models in a modelling layer. In a feature selection layer, each generated ML model is analyzed to determine, for each input feature, a degree of importance of the feature on the results generated by the ML model. Features with low importance are identified and the information is propagated backward to the data source and feature engineering layers. In response, the data source and feature engineering layers refrain from gathering or generating the unimportant features. Based on a confidence measure of the determination that each feature is important or unimportant, a number of periods between reevaluation of the feature importance is determined. After the number of periods has elapsed, a removed feature is restored to the pipeline. | 2021-11-11 |
20210350274 | DATASET MANAGEMENT IN MACHINE LEARNING - A method, a computer system, and a computer program product for managing a dataset of training samples, labeled by class, during training of a machine learning model is provided. Embodiments of the present invention may include training the model on a sequence of increasing-sized sets of the training samples and testing performance of the model after training with each set to obtain class-specific performance metrics corresponding to each set size. Embodiments of the present invention may include generating class-specific learning curves from the performance metrics for the plurality of classes. Embodiments of the present invention may include extrapolating the learning curves. Embodiments of the present invention may include optimizing a function of the predicted performance metrics to identify a set of augmentation actions to augment the dataset for further training of the model. Embodiments of the present invention may include providing an output indicative of the set of augmentation actions. | 2021-11-11 |
20210350275 | SEMANTIC CONSISTENCY OF EXPLANATIONS IN EXPLAINABLE ARTIFICIAL INTELLIGENCE APPLICATIONS - An explainable artificially intelligent (XAI) application contains an ordered sequence of artificially intelligent software modules. When an input dataset is submitted to the application, each module generates an output dataset and an explanation that represents, as a set of Boolean expressions, reasoning by which each output element was chosen. If any pair of explanations are determined to be semantically inconsistent, and if this determination is confirmed by further determining that an apparent inconsistency was not a correct response to an unexpected characteristic of the input dataset, nonzero inconsistency scores are assigned to inconsistent elements of the pair of explanations. If the application's overall inconsistency score exceeds a threshold value, the system forwards information about the explanation, the offending modules, and the input dataset to a downstream machine-learning component that uses this information to train the application to better respond to future input that shares certain characteristics with the current input. | 2021-11-11 |
20210350276 | MACHINE LEARNED FEATURE RECOMMENDATION ENGINE IN A DIGITAL TRANSACTION MANAGEMENT PLATFORM - An online document system provides a recommendation for one or more features within the online document system to an entity. The online document system accesses a set of feature training data to train a machine learning model. The set of feature training data may describe characteristics of entities associated with the online document system and historical activity associated with the entities' usage of the online document system's features. The machine learning model may be configured to identify a feature to recommend to an entity based on the entity's characteristics and history of using other features within the online document system. For example, data representing the entity's user accounts and use of an electronic signature feature is used by the machine learning model to identify a document authentication feature to recommend to the entity. The online document system may then provide the identified feature in a recommendation to the entity. | 2021-11-11 |
20210350277 | ADAPTIVE ANOMALY DETECTOR - A computer system is provided. The computer system includes a memory, a network interface, and a processor coupled to the memory and the network interface. The processor is configured to receive a response to a request to verify whether an ostensible client of a service is actually a client or a bot, the response including an indicator of whether the ostensible client is a client or a bot; receive information descriptive of interoperations between the ostensible client and the service that are indicative of whether the ostensible client is a client or a bot; and train a plurality of machine learning classifiers using the information and the indicator to generate a next generation of the plurality of machine learning classifiers. | 2021-11-11 |
20210350278 | METHOD AND SYSTEM FOR MINIMIZING PASSENGER MISCONNECTS IN AIRLINE OPERATIONS THROUGH LEARNING - Considering the dependency of a flight hold time on multitude of dynamically varying factors, determining an optimal hold time balancing between passenger utility and airline utility is challenging. State of art approaches are limited to use of only deterministic approaches with limited ML assistance that require huge labelled training data. Embodiments disclosed herein provide a method and system for computing and recommending optimal hold time for every flight of an airline so as to minimize passenger misconnects in airline operations through Reinforcement Learning (RL). The method disclosed utilizes RL, which is trained to make decision at a flight level considering local factors while still adhering to the global objective based on global factors. Further method introduces business constants in the rewards to the RL agents bringing in airline specific flexibility in reward function. | 2021-11-11 |
20210350279 | SITUATION FORECAST MECHANISMS FOR INTERNET OF THINGS INTEGRATION PLATFORM - A method of consolidating Internet of Things (IoT) devices connected via an IoT network is disclosed. An IoT integration platform implemented by a computer system can collect data from one or more of IoT devices, IoT solution specific server systems, third-party server systems, general-purpose user computing devices, or any combination thereof. The IoT integration platform can label the data based on entity-specific context. The entity-specific context can correspond to a user account, a device, a location, or any combination thereof. The IoT integration platform can generate an entity-specific profile based on the labeled data. The IoT integration platform can generate, based on the entity-specific profile, a situation forecast associated with a target entity and with a timeframe yet to occur. | 2021-11-11 |
20210350280 | MODEL MODIFICATION AND DEPLOYMENT - An apparatus, method and computer program is described comprising: determining an initial performance of a first model, wherein determining the initial performance comprises deploying the first model at a first device; determining one or more operations for modifying the first model based on at least the initial performance of the first model and one or more user requirements; modifying the first model by performing the one or more operations; determining whether a performance of the modified first model satisfies the one or more user requirements, wherein the determining comprises deploying the modified first model at the first device; and in the event that the modified first model does not satisfy the one or more user requirements, further modifying the first model by performing one or more further operations until the performance of the modified first model satisfies the one or more user requirements, wherein the determining further one or more operations based on at least the performance of the modified first model and the one or more user requirements. | 2021-11-11 |
20210350281 | METHOD AND SYSTEM FOR APPLYING A PREDICTIVE MODEL TO GENERATE A WATCHLIST - A computer-implemented method comprises using at least one hardware processor to: receive a plurality of data related to one or more entities from a plurality of data sources; apply a predictive model to the plurality of data to predict a value of a critical indicator of performance for each of the one or more entities; generate a graphical user interface comprising a watchlist, wherein the watchlist comprises, for each of the one or more entities, an identifier of the entity, an identifier of the critical indicator predicted for the entity, a value associated with the critical indicator predicted for the entity, and a recommendation based on the value associated with the critical indicator predicted for the entity; and provide the graphical user interface to at least one user. | 2021-11-11 |
20210350282 | MANAGING AN INSTALLED BASE OF ARTIFICIAL INTELLIGENCE MODULES - A computer-implemented method for managing an installed base of multiple artificial intelligence (AI) modules, each AI module transforming input data into output data by an internal processing chain, the input data including data that characterize a state and/or the behavior, of at least one physical plant, apparatus, or system, the behavior of the internal processing chain being determined by a set of configuration parameters trainable based on training input data and corresponding reference data to which the internal processing chain is to map the training input data, the method including: obtaining, from multiple AI modules and/or domains in which the AI modules are applied, pairs of input data and corresponding output data, and/or pairs of training input data and corresponding reference data, and/or configuration parameters, the data and/or parameters relating to same or sufficiently similar operating situations of the AI modules according to a predetermined quantitative similarity criterion. | 2021-11-11 |
20210350283 | DATA ANALYZER - A series of processes of dividing given labeled teacher data into model construction data and model verification data, constructing a machine learning model using the model construction data, and applying the model to the model verification data to identify (label) a sample is repeated multiple times (S | 2021-11-11 |
20210350284 | TACKLING DELAYED USER RESPONSE BY MODIFYING TRAINING DATA FOR MACHINE-LEARNED MODELS - Techniques for tackling delayed user response by modifying training data for machine-learned models are provided. In one technique, a first machine-learned model generates a score based on a set of feature values. A training instance is generated based on the set of feature values. An attribute of the training instance is modified based on the score to generate a modified training instance. The attribute may be an importance weight of the training instance or a label of the training instance. The modified training instance is added to a training data. One or more machine learning techniques are used to train a second machine-learned model based on the training data. | 2021-11-11 |
20210350285 | BIAS MITIGATION IN MACHINE LEARNING PIPELINE - According to an aspect of an embodiment, operations include controlling a user device to display a plurality of task-specific questions onto an electronic user interface (UI) of the user device. Each task-specific question corresponds to a check for presence of a bias in one of a sequence of development phases of a machine learning (ML) model. The operations further include receiving a first input comprising a plurality of user responses corresponding to the displayed plurality of task-specific questions and determining a set of biases associated with the ML model based on the received first input. The operations further include controlling the user device to display the determined set of biases and a set of plausible actions to mitigate an effect of the determined set of biases on the ML model. | 2021-11-11 |
20210350286 | PASSIVE VISIT DETECTION - Examples of the present disclosure describe systems and methods for passive visit detection. In aspects, a mobile device comprising a set of sensors may collect and store sensor data from the set of sensors in response to detecting a movement event or user interaction data. The collected sensor data may be processed and provided as input to one or more predictive or statistical models. The model(s) may evaluate the sensor data to detect mobile device location, movement events and visit events. The model(s) may also be used to determine correlations between features of the sensor data and movement- or location-based events, optimize the types of data collected by the set of sensors, extend localized predictions to large-scale ecosystems, and generate battery-efficient state predictions. In aspects, the model(s) may be trained using labeled and/or unlabeled data sets of sensor data. | 2021-11-11 |
20210350287 | SYSTEMS AND METHODS FOR MOBILE AUTHORIZATIONS - A mobile device may receive security credentials from a contactless device via a contactless communication channel to authorize functions that may be performed by the mobile device. For example, purchase transactions may be authorized to be completed by a mobile device after payment information communicated from a physical payment card to the mobile device is confirmed to match at least a portion of payment information stored within a memory of the mobile device. A mobile device may forward the security credentials to a network entity for remote authorization of a requested function. | 2021-11-11 |
20210350288 | System for advising consumers on optimal pedestrian routes based on transaction history - Aspects described herein may provide determination of a pedestrian route for a user to reach a seating area inside of a venue. Financial transaction data of the user may be reviewed to determine the user purchased one or more tickets to an event at the venue. Information regarding the event or the venue may be determined including seating charts for the venue and whether the tickets are for assigned or unassigned seats. Crowd densities inside and outside of the venue may be determined. The pedestrian route may be determined based on the crowd densities, number of tickets, and type of seating. The route may be updated as conditions change including any change to the crowd densities or change to seating availability. The route may increase a likelihood that the user reaches the seating area prior to a start of the event, and in a less stressful manner. | 2021-11-11 |
20210350289 | DAMPENING TOKEN ALLOCATIONS BASED ON NON-ORGANIC SUBSCRIBER BEHAVIORS - Described processes include: determining portions of instances of a cryptographic token to be allocated to record providers, like providers of an asset indicated by a record, wherein: the portions are determined based on network effects associated with the records the record provider supplied on performance of a computer-implemented network in which both record providers and record consumers participate, patterns indicative of inorganic consumption may be determined from one or more of interactions of individual consumers, interactions of collections of consumers, or consumer interactions in the aggregate for a given provider or record; and the effects on network performance are adjusted responsive to designation of one or more entities as exhibiting inauthentic behavior; and appending to a distributed ledger, records indicating the respective portions, and adjustments, are allocated to record providers. | 2021-11-11 |
20210350290 | SYSTEM AND METHOD FOR EVENT ADMISSION - Systems and methods for managing access rights to an event are provided. During a bidding procedure, real-time bidding data comprising one or more bids for acquiring access to the event based on user-specific criteria is received. Historical, current, and future data related to at least one of the event, the venue, and a content provider are obtained. Real-time insights are output based on the bidding data and on the historical, current, and future data. This comprises returning a price to be paid to acquire at least one access right meeting the user-specific criteria and indicating at least one access right that can be acquired immediately in accordance with the one or more bids for optionally bypassing the bidding procedure. User input is received responsive to the insights and, responsive to the user input, access rights are automatically allocated to the event or access to an access rights selection platform is granted. | 2021-11-11 |
20210350291 | COMPUTERIZED GLOBAL MARINE DISTRIBUTION SYSTEM (MDS) - The invention provides a computerized method and system of ordering, tracking, and processing marine travel, especially useful for tracking entry or exit from ports. The invention provides a global marine distribution system (MDS), allowing users to submit documents to government authorities and to port authorities, and to track the document processing status. The invention aggregates marine travel data related to participating vessels, analyzes the data and outputs marine travel reports related to predefined geographical locations and time periods. | 2021-11-11 |
20210350292 | VIRTUAL QUEUING SYSTEM AND METHOD - A system in accordance with present embodiments includes a plurality of virtual queuing stations associated with respective attractions within a theme park and a virtual queue control system configured to maintain respective virtual queues for the respective attractions and in communication with the plurality of virtual queuing stations. The virtual queue control system is configured to receive communications from the plurality of virtual queuing stations and add guests to the respective virtual queues based on the communications. | 2021-11-11 |
20210350293 | SYSTEMS AND METHOD FOR MESSAGE-BASED CONTROL AND MONITORING OF A BUSINESS PROCESS - A system for monitoring and controlling a business process involving a plurality of workstations or/and computerized services, the system comprising apparatus for receiving messages exchanged between the plurality of workstations or computerized services and having content, and for deriving from the content of the messages, monitoring information regarding the single business process. | 2021-11-11 |
20210350294 | OPERATIONS OPTIMIZATION ASSIGNMENT CONTROL SYSTEM WITH COUPLED SUBSYSTEM MODELS AND DIGITAL TWINS - Optimization systems and methods for optimizing business operations and asset systems are disclosed. A system includes digital twins corresponding to asset systems; business models corresponding to business operations; and an electronic control unit (ECU). The ECU is programmed to: implement an asset optimizer module, where implementing the asset optimizer module interconnects the digital twins for optimization; execute the asset optimizer module, where the asset optimizer module optimizes the digital twins to obtain one or more optimization parameters for the asset systems; implement a system optimizer module, where the system optimizer module receives the one or more optimization parameters and the business models; execute the system optimizer module, where the system optimizer module generates operation protocols for the business models; and output, to a user, the operation protocols for implementation in a real-world asset system. | 2021-11-11 |
20210350295 | ESTIMATION OF CROP PEST RISK AND/OR CROP DISEASE RISK AT SUB-FARM LEVEL - Method, apparatus, and computer program product are provided for estimating crop pest risk and/or crop disease risk at sub-farm level. In some embodiments, a farm region is determined based on farm definition data, and input data associated with the farm region are retrieved from a plurality of data sources. The input data may include a plurality of pixel sets. In some embodiments, for each pixel set, crop risk data are determined based on the input data using one or more spatiotemporal regression models. The crop risk data may include an estimate of crop pest risk and/or crop disease risk for each pixel set. In some embodiments, the farm region is categorized into a plurality of sub-farms each defining a risk level category for that sub-farm based on the crop risk data. In some embodiments, the sub-farms are displayed as a visual heat-map, along with recommended antidote options. | 2021-11-11 |
20210350296 | PRODUCTIVITY IMPROVEMENT SUPPORT SYSTEM AND PRODUCTIVITY IMPROVEMENT SUPPORT METHOD - Improvement of work is instructed based on an analysis result obtained by combining data having different granularity. A productivity improvement support system includes a time granularity setting unit configured to, when 4M data having different time granularity acquired from a target device contains data that satisfy a condition for detecting a state fluctuation, switch time granularity of the 4M data to time granularity according to a state fluctuation, a loss analysis calculation unit configured to analyze a production loss factor by using analysis model data in which the production loss factor of the target device when the condition is satisfied is determined, and a recommended work selection unit configured to select a recommended work when the production loss factor occurs from one or a plurality of recommended works by using recommended work data stored in association with the production loss factor. | 2021-11-11 |
20210350297 | UNIVERSAL MODEL SCORING ENGINE - Methods and systems for generating a universal computer model for assessing a risk in an electronic transaction based on one or more risk assessment models are presented. The one or more risk assessment models may be incompatible with each other. Different portions of a risk assessment models may be extracted from the risk assessment models. A node structure is generated for each risk assessment model based on the portions extracted from a corresponding risk assessment model. The node structures generated based on the risk assessment models are merged to produce a merged node structure. The universal computer model is generated based on the merged node structure. | 2021-11-11 |
20210350298 | ELECTRIC VEHICLE CHARGING SYSTEM AND METHOD - A system includes a computer processor configured to receive a vehicle identifier and a charging power dispenser identifier from a vehicle coupled to a specific charging power dispenser of a charging power dispenser chain. The system also includes a control program being configured to run on the computer processor, the control program being configured to determine a time to deliver power to the vehicle and an amount of power to deliver to the vehicle, the control program being further configured to send to a communication hub of a power cabinet electrically coupled to the charging power dispenser chain the time to deliver power to the vehicle, the amount of power to deliver to the vehicle, the vehicle identifier, and the charging power dispenser identifier. | 2021-11-11 |
20210350299 | INFORMATION PROCESSING DEVICE, SCHEDULING SYSTEM, A METHOD FOR SCHEDULING EVENT, AND NON-TRANSITORY RECORDING MEDIUM - An information processing device includes circuitry that receives from, a first terminal device, information corresponding to a plurality of users and information on a plurality of events to be scheduled, requests another information processing device to register, in a user schedule for each of the plurality of users, the plurality of events as a plurality of scheduled events, and determines one of the plurality of scheduled events based on a result obtained by user operations each of which is performed with a second terminal device, which is a transmission destination of the information on the plurality of events. Each of the user operations is selecting one or more of the plurality of scheduled events with the second terminal device used by a corresponding user. The circuitry requests the other information processing device to delete the plurality of scheduled events other than the determined one. | 2021-11-11 |
20210350300 | METHOD AND APPARATUS FOR PLATOONING OF VEHICLES - Platooning vehicles can result in operational cost savings. Disclosed is a method of apportioning costs that are incurred/saved as a result of platooning vehicles, as well as assigning penalties for unfair platoon participation. For example, platooning history of a vehicle can be tracked, and if that vehicle acts too often as a trailing vehicle in a series of platoons then a penalty might be assigned to that vehicle. Also disclosed is a technique for operating a platoon in the presence of external factors such as municipal regulations, merging traffic, emergency vehicles, etc. | 2021-11-11 |
20210350301 | Automatic Product Dispatching Device and Method in Case of Site Abnormality in Queue Time Section Loop - The application discloses an automatic product dispatching device in case of a site abnormality in a queue time section loop, which includes a risk level definition module and a risk control logic module for product dispatching in case of the site abnormality; the risk level definition module divides risks into a plurality of levels, defines a corresponding site risk level at each site, divides a queue time section loop from a current site to an abnormal site of products into a current queue time section, a middle queue time section and an abnormal queue time section, and respectively defines section risk level; the risk control logic module forms a current product dispatching result according to a logic relationship among the section risk levels. The application further discloses an automatic product dispatching method in case of a site abnormality in a queue time section loop. | 2021-11-11 |
20210350302 | DIGITAL PROCESSING SYSTEMS AND METHODS FOR SELF-CONFIGURING AUTOMATION PACKAGES IN COLLABORATIVE WORK SYSTEMS - Systems and methods for self-configuring table automations. A system may include at least one processor configured to present a plurality of alternative automation packages for application to a table, wherein each package includes a plurality of automations, and wherein each automation is configured to cause an action in response to at least one condition detected in the table; identify a selection of a package from the plurality of packages; automatically configure a first condition in a particular automation in the selected package based on data in the table; display a second undefined condition of the particular automation, wherein the second undefined condition requires further configuration; receive an input for configuring the second undefined condition; configure the second undefined condition using the input to cause the second undefined condition to become a second defined condition; and apply the particular automation to the table. | 2021-11-11 |
20210350303 | TASK LIST FOR TASKS CREATED AT A THIRD-PARTY SOURCE - The present technology addresses a need for a task service that can aggregate tasks assigned to a user on different services so that all tasks that the user needs to perform can be found in one location. The present technology can utilize credentials to a user account associated with a user of a service to automatically identify tasks that are relevant to the user and can create those tasks in a task service. The task service can maintain a link back to the source of the task so that the user can mark the task as complete in the task service, and the task service can automatically update the task in the service in which the task was created. The present technology can also provide integrations with some services to a user to create new tasks from services that are not task based, such as email. | 2021-11-11 |
20210350304 | AIDING FURTHER EXAMINATION OF A DATA SET FOR IMPROVING A CORRESPONDING KEY PERFORMANCE INDICATOR (KPI) - An aspect of the present disclosure aids further examination of data set for improving corresponding key performance indicators (KPI). In an embodiment, a data set containing a plurality of data points is selected, with each data point specifying an individual fact value for a respective combination of members and each member being associated with a corresponding dimension. A respective aggregate fact value is generated for each member of each dimension. A respective variation among aggregate fact values of corresponding members is computed for each dimension. The set of dimensions having more variation is identified as containing pertinent information for further examination of a key performance indicator (KPI). | 2021-11-11 |
20210350305 | NOTIFYING KEY PERFORMANCE INDICATORS OF INTEREST IN A BUSINESS INTELLIGENCE SYSTEM - A BI system identifies key performance indicators (KPIs) of interest for a given time duration without requiring any user inputs for such purpose. In other words, the user may provide inputs for purposes such as specifying the time duration, for initiation of execution of modules to trigger the identification, etc., but no user inputs may be required for such identification itself. In an embodiment, the KPIs of interest are determined by examining a corresponding sequence of measurements for each key performance indicator (KPI). The KPIs thus identified are sent for display. | 2021-11-11 |
20210350306 | WASTE MANAGEMENT SYSTEM HAVING UNSCHEDULED STOP MONITORING - A system is disclosed for managing services of a service vehicle. The system may have a locating device configured to generate a first signal indicative of a location of the service vehicle, and at least one sensor configured to generate a second signal indicative of a waste service being completed by the service vehicle. The system may further have a computing device in communication with the locating device and the at least one sensor. The computing device may be configured to receive a route assignment including waste services to be performed by the service vehicle at a plurality of target locations, and to make a determination that the service vehicle has stopped at a non-target location based on the plurality of target locations and at least one of the first and second signals. The computing device may further be configured to selectively generate an electronic response based on the determination. | 2021-11-11 |
20210350307 | Intelligent Dealership Recommendation Engine - Aspects described herein may provide an interface and/or search functionality for a dealership to determine a sales associate to sell a vehicle to a customer. A recommender system may recommend sales associates to the dealership based on a prediction of how successful the sales associates will be with a particular customer. The recommender system may learn from historical sales data which sales associate is better at selling a particular type of vehicle. Machine learning may be used to generate the recommendations. | 2021-11-11 |
20210350308 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM - An information processing device includes: an input unit for causing attribute values that can be converted to at least binary values to be inputted for each of multiple kinds of attributes pertaining to the persons to be classified; an attribute image generation unit for generating an attribute image having multiple areas corresponding to the multiple kinds of attributes, each of the multiple areas exhibiting a color that corresponds to the attribute value inputted for the attribute corresponding thereto; and a determination engine having a learned model that has learned a correlation between a pattern of the attribute values and the result of classification on the basis of a learning data set in which the pattern of the attribute values for the attributes is represented in the same format as that for the attribute image. The determination engine outputs the result of classification, on the basis of the attribute image. | 2021-11-11 |
20210350309 | DIGITAL PROCESSING SYSTEMS AND METHODS FOR MULTI-BOARD AUTOMATION TRIGGERS IN COLLABORATIVE WORK SYSTEMS - Systems and methods for implementing multi-table automation triggers. A system may include at least one processor configured to maintain a first table with rows and columns defining first cells; maintain a second table with rows and columns defining second cells; display a joint logical sentence structure template including a first definable condition and a second definable condition; link input options for the first definable condition to the first table; link input options for the second definable condition to the second table; generate a joint rule for the first table and the second table by storing a first value for the first definable condition and storing a second value for the second definable condition; apply the joint rule across the first table and the second table; and trigger the joint rule when the first condition in the first table is met and the second condition in the second table is met. | 2021-11-11 |
20210350310 | SYSTEMS AND METHODS FOR GENERATING CONSTRUCTION ASSIGNMENT SCHEDULES HAVING MULTI-TASK CONSTRUCTION PROJECTS - Methods and systems to generate a work schedule for a multi-task project include storing, in a memory, a task code and a labor requirement for each task of the multi-task project. The methods and systems also include building, by a processor, a task schedule for the multi-task project. The task schedule includes labor hours, a projected time frame, and worker roles for each task. The methods and systems further include retrieving, by the processor, availability data for workers qualified for the worker roles of each task. The availability data for each worker includes an availability status and a geographic location. The methods and systems also include building, by the processor, the work schedule by assigning workers to job orders based on the task schedule, the worker availabilities, the geographic locations, and the project location. | 2021-11-11 |
20210350311 | Parcel Processing System and Method - A parcel processing system configured to support automated parcel processing. For example, the system can be configured to select a permitted shipping service level from among the plurality of permitted shipping service levels based on a plurality of rules, control the sorting of the parcel into one of a plurality of shipping containers, and bill customers. | 2021-11-11 |
20210350312 | AUTOMATIC PERSONAL PROTECTIVE EQUIPMENT CONSTRAINT MANAGEMENT SYSTEM - A system includes a manufacturing execution system and a computing device communicatively coupled to the manufacturing execution system. The manufacturing execution system stores data indicative of at least one production configuration and one or more hazards associated with the at least one production configuration. The computing devices includes one or more computer processors and memory. The memory includes instructions that when executed by the one or more computer processors cause the one or more computer processors to determine one or more constraints associated with personal protective equipment, identify a set of personal protective equipment that satisfies the one or more constraints, and perform, based on the set of personal protective equipment, at least one operation. | 2021-11-11 |
20210350313 | COMPUTER-IMPLEMENTED ADAPTIVE SUBSCRIPTION MODELS FOR CONSUMER PACKAGED GOODS - A database comprises user information records for users subscribing to one or more goods through a subscription service. In some aspects a user record may contain information about the user, one or more households of the user and the constituents of those households, and other information about the user, households, and/or constituents of household. User records are updated based on various signals corresponding to user feedback and amounts of provided goods and utilized in iterative training of consumption models by which consumption of different goods is determined based on household properties. The consumption model outputs a predicted consumption of goods for a household and amounts of goods are translated into one or more SKUs for fulfillment by the subscription service. | 2021-11-11 |
20210350314 | TRACEABILITY AND ANALYSIS OF MATERIALS WITHOUT UNIQUE IDENTIFIERS IN MANUFACTURING PROCESSES AND DIGITAL MANUFACTURING TRANSFORMATION - A system tracks material flow during a production process. In particular, the system receives, from a materials container, a plurality of sensor readings. The materials container comprises a plurality of sensors at one or more intake locations and one or more outlet locations. The system generates an input data set and an output data set from the plurality of sensor readings. The system stores a first electronic ledger entry on an electronic ledger. The first electronic entry comprises the input data set and a time that sensor readings corresponding to the one or more intake locations were taken. The system stores a second electronic ledger entry on the electronic ledger. The second electronic entry comprises the output data set and a time that sensor readings corresponding to the one or more outlet locations were taken. The system generates display data associate with the first and second electronic ledger entries. | 2021-11-11 |
20210350315 | SYSTEMS AND METHODS FOR ARTICLE INVENTORY TRANSFER - A computer-implemented method of managing an inventory of articles includes receiving, by a transfer processor, article information associated with the articles, and identifying, by the transfer processor, one of the articles based on an article identifier. The method also includes retrieving article information based on the identifier, the article information including care information for the one of the articles, and, when the identified article is an article requiring special care, a special care requirement is included in the care information, and preparing the article for transfer based on the care information. | 2021-11-11 |
20210350316 | Ticket Based Harvest Management System and Method - A system and method is presented for gathering data concerning harvests. Data tickets are generated when the harvest is received at a point of origination (i.e., the field), local storage, processing, or a customer location. Data tickets can be manually generated using apps running on mobile devices. Users of the mobile devices input the data tickets when harvest is received at these locations. Data tickets are transmitted to a remote server over a wide area network. Analysis of the data tickets is possible through a web interface to the remote server. Beacons that identify various equipment or locations can be used to trigger the automatic generation of data tickets. | 2021-11-11 |
20210350317 | SYSTEMS AND METHODS FOR ELECTRONIC MONITORING OF INVENTORY TRANSFER - The present disclosure provides systems and methods for monitoring inventory transfer in real-time, comprising a memory storing instructions and a processor configured to execute the instructions to receive a tote identifier associated with a tote configured to store one or more products and receive a container identifier associated with a container configured to store the tote. The processor is configured to receive, from a user device in the first fulfillment center, a code associated with a vehicle for transferring the container from a first to a second fulfillment center, receive, from a user device in the second fulfillment center, the code associated with the vehicle, receive, from the user device in the second fulfillment center, at least one of the container identifier or the tote identifier, and validate the transfer of the first product, based on the code and at least one of the container identifier or the tote identifier. | 2021-11-11 |
20210350318 | SYSTEM AND COMPUTER PROGRAM FOR REAL-TIME LOCATION TRACKING AND MONITORING OF PRODUCT CONTAINERS - A system, computer program product and method for real-time location tracking and monitoring of product containers. The system includes a plurality of remote computers in communication with a respective plurality of remote users, a service provider computer, a network interface in communication with the central server and the plurality of remote computers over a shared network, a shared database in communication with the service provider computer, an administrative module configured to onboard the plurality of remote users onto the shared network via the network interface, and a location monitoring module configured to monitor in real-time the status and geographical location of a tote tracker attached to a product container and provide the status and geographical location to at least a portion of the plurality of remote users. The service provider computer is configured to receive location tracking information over a network from the tote tracker, store the location tracking information in the shared database, provide access to the shared network to the plurality of remote computers based on the respective access permission of the one of the plurality of remote users provided by the permissibility network module, and manage access specific portions of the location tracking information for all relevant remote users of the plurality of remote users. | 2021-11-11 |
20210350319 | METHOD AND SYSTEM FOR GUIDING POSITION OF AIRCRAFT BAGGAGE - Provided is a method for guiding position of aircraft baggage, the method allowing baggage information to be recognized through an electronic tag attached to baggage to determine whether the baggage has arrived at a destination and, upon determining that the baggage has arrived at the destination, calculating baggage location information and transmitting the obtained baggage location information to a terminal of a passenger and, upon determining that the baggage has not arrived at the destination, transmitting baggage misdelivery guide information to the terminal of the passenger. | 2021-11-11 |
20210350320 | AUTOMATED DELIVERY DEVICE AND METHOD FOR DELIVERING A PACKAGE - A ground transporter transports a package to a package recipient location and receives a token from a token recipient, wherein receiving the token represents a verification that the ground transporter has moved to the package recipient location. The ground transporter is configured, if the token is received, to deliver the package at the package recipient location. | 2021-11-11 |
20210350321 | TRIP SCHEDULING SYSTEM - Media, method and system for scheduling trips, and particularly for scheduling trip to transport vehicles from a pick-up location to a drop-off location. To accomplish this, interfaces are provided for describing the desired starting and ending locations for vehicles and automatically allocating drivers to vehicles for each segment of a desired trip and assigning any necessary tasks to the drivers to complete for each waypoint of the trip. Additionally, any other requirements for transporting the vehicles, such as insurance and temporary license plates, can automatically be provided for. | 2021-11-11 |
20210350322 | SYSTEM FOR PARCEL TRANSPORT AND TRACKING OPERATED RESPONSIVE TO DATA BEARING RECORDS - A system for parcel transport and tracking that operates responsive to data bearing records includes a plurality of geographically spaced repositories. The exemplary repositories include a plurality of enclosed compartment spaces. Access to each of the enclosed compartment spaces is controlled by respective door which is in operative connection with the respective lock. Central control circuitry in operative connection with the repositories is operative to control access to the compartment spaces and to cause compartments to be selectively accessible so that selected parcels may be placed therein or removed therefrom. | 2021-11-11 |
20210350323 | SOCIAL MEDIA PROFILING FOR ONE OR MORE AUTHORS USING ONE OR MORE SOCIAL MEDIA PLATFORMS - A system is presented that profiles authors and social media data across different media platforms and is capable of determining the author's overall social impact. In one aspect, this is accomplished by using a data retrieval service to trawl various web-sites and social media platforms for information about authors which can then be associated with those authors in a profile database. In one example, an author may post an entry on his/her blog and the data retrieval service can access the profile information of the author, on the blog, where various aspects of the profile information (e.g., real name, employee information, home address) can be matched with candidates in a profile database. From the information gathered, authors can be linked across multiple, different platforms, and an overall social impact of each of the authors can be determined. | 2021-11-11 |
20210350324 | RENTAL PROPERTY MANAGEMENT TECHNOLOGY - Rental property management technology, in which electronic entry data for rental properties, energy related data for the rental properties, reservation data for the rental properties, and settings for energy management of the rental properties is accessed. Integrated data that includes the accessed electronic entry data, the accessed energy related data, and the accessed reservation data integrated with the accessed settings for energy management of the rental properties is stored in electronic storage. The integrated data is analyzed to determine whether energy management of the rental properties aligns with the accessed settings and accords with one or more efficiency rules. Based on the analysis, an energy management operation is performed for at least one of the rental properties. | 2021-11-11 |
20210350325 | GENERATING AND PROVIDING RELEVANT CONTENT UPDATES - The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating and providing a digital space report indicating relevant digital content items with respect to a particular user from a collaborative digital team space. For example, the systems described herein can determine that a collaborative digital team space is flagged for providing updates to a particular user. The disclosed systems can also identify content relevance indicators for digital content items within the flagged collaborative digital team space. In addition, the disclosed systems can generate a digital space report to provide to a client device of the user and that indicates updates for relevant digital content items. | 2021-11-11 |
20210350326 | DIGITAL PROCESSING SYSTEMS AND METHODS FOR MULTI-BOARD MIRRORING WITH MANUAL SELECTION IN COLLABORATIVE WORK SYSTEMS - Systems, methods, and computer-readable media for generating high level summary tablature based on lower level tablature are disclosed. The systems and methods may involve at least one processor configured to: electronically receive a first selection of at least one item contained on both a first board and a second board; electronically receive a second selection of a first type of information presented on the first board; electronically receive a third selection of a second type of information presented on the first board; electronically receive a fourth selection of a third type of information presented on the second board; electronically receive a fifth selection of a fourth type of information presented on the second board; and electronically generate a summary board including the at least one item, the summary board associating with the at least one item a first aggregation and a second aggregation. | 2021-11-11 |
20210350327 | DIGITAL PROCESSING SYSTEMS AND METHODS FOR AUTOMATION TROUBLESHOOTING TOOL IN COLLABORATIVE WORK SYSTEMS - Systems and methods for troubleshooting faulty automations in tablature. A system may include at least one processor configured to maintain a table containing data, store a plurality of logical sentence structures that serve as logical rules to conditionally act on the data in the table, wherein each logical rule is enabled to act at differing times in response to differing conditional changes, activate the logical rules so that each rule is in effect simultaneously, as each logical rule performs an action on the data, record the action and an associated time stamp in an activity log. The processor may access the activity log to identify at least one most recent action performed on the table, and present at least one specific logical sentence structure underlying at least one logical rule that caused the at least one most recent action. | 2021-11-11 |
20210350328 | SYSTEMS AND METHODS FOR CUSTODIAL EMAIL MANAGEMENT AND TRANSACTION VERIFICATION - A proxy email account management system configured to identify emails comprising receipt information and match the identified emails to respective transactions. The proxy email account management system may comprise a custodial email management system associated with a proxy email address. The custodial email management system may parse emails for receipt information and account-holder information, identify receipt information and account-holder information, determine if the emails correspond to a purchase made by an account-holder, and forward the email to a primary email address associated with the account-holder. | 2021-11-11 |
20210350329 | Remote interview exam system - A remote interview system includes a web server, a two-way communications server, a mail server, an interview server and a communications line connecting apparatus. The remote interview system connects to an applicant terminal and a recruiter terminal via a communications line to perform a remote interview. The interview server includes a function to select an applicant using a preliminary selection including a knowledge test, a writing ability test, character diagnosis and an oral test. The remote interview system includes a personal identification function to acquire the image of an applicant during a preliminary selection test and collates the acquired image with the registered image of the applicant. The remote interview system includes a function to distribute question video to an applicant terminal, a function to receive and record the answer video of the applicant in response to the distributed question video, and a function to distribute the recorded answer video to a recruiter terminal and perform rating and evaluation. | 2021-11-11 |
20210350330 | SYSTEMS AND METHODS FOR MACHINE LEARNING TO ANALYZE STUDENT PROFILES - In some embodiments, a method can include calculating, based on a set of values associated with an education of a user, an institution rank associated with the user. The method can include generating an engagement distribution of a set of users based on (1) a recency of each communication from a set of communications associated with the set of users and (2) a significance of each communication from the set of communications. The method can include determining an engagement metric of the user based on a position of the user within the engagement distribution and using a logistic function. The method can include providing, as an input to a machine learning model, the institution rank, the engagement metric, a profile completion metric and a profile of each entity from a set of potential entities, to obtain a user score related to each entity from the set of potential entities. | 2021-11-11 |
20210350331 | MODEL AND PURSE AMOUNT FOR ENHANCED HEALTH SAVINGS ACCOUNTS - Methods and systems may be associated with an enhanced Health Saving Account (“HSA”) offered by an employer to a plurality of employees. An advance limit calculation platform may access information in a member data store that contains information associated with the plurality of employees. The member data store may include, for each employee, an employee identifier, a communication address, and employment characteristics that were received from an employer human resources system. The advance limit calculation platform may then calculate, for each employee, an advance limit based on the employment characteristics (e.g., salary information, a date of hire, payroll deduction availability, a number of dependents, etc.). The system may then arrange to transmit, to each employee via the communication address and a distributed communication network, enhanced HSA information including the calculated advance limit. Moreover, embodiments may provide a scoring model and/or purse amount for the enhanced HSA. | 2021-11-11 |
20210350332 | SYSTEM AND METHOD FOR USING RFID TAGS TO DETERMINE STERILIZATION OF DEVICES - Methods and systems for controlling the usage of devices with embedded RFID tags including connecting a device to an energy source and reading data from a memory device incorporated in the device. The data may include a unique identifier (UID), a usage value, an activation value, a reprocessing value, and/or a sterilization indicator. The usage value is incremented when the device is connected to the energy source and the activation value is incremented when the device is activated permitting energy to flow from the energy source to the device. Usage of the device is prevented if the UID is on a list of prohibited UIDs, the usage value is not lower than a usage limitation value, the reprocessing value equals a reprocessing limitation value, the activation value equals an activation limitation value, and/or the sterilization indicator does not indicate that the device has been sterilized since its previous usage. | 2021-11-11 |
20210350333 | RESOURCE RESERVATION SYSTEM, METHOD FOR STARTING USING RESOURCE, AND NON-TRANSITORY RECORDING MEDIUM - A resource reservation system includes a first information processing device connected to communicate with a terminal device and a second information processing device connected to communicate with the first information processing device. The second information processing device transmits, to the first information processing device, information on a resource that is reserved for use. The first information processing device transmits, to the terminal device, information on a display component in response to the information on the resource received from the second information processing device. The display component is displayed on the terminal device for receiving a user operation. The first information processing device transmits, to the second information processing device, a resource usage start request in response to the user operation performed with the terminal device. The resource usage start request is for starting using the resource. The second information processing device accepts the resource usage start request. | 2021-11-11 |
20210350334 | CONSOLIDATION OF CALENDAR APPOINTMENTS - Techniques for processing calendar availability and consolidating appointments are described herein. In some implementations, the techniques may monitor scheduling interactions of a merchant with a calendar to schedule a merchant as unavailable in the calendar at a particular time and/or to reschedule the merchant as available at a time that is designated as unavailable. Additionally, or alternatively, the techniques may consolidate a merchant's schedule by rescheduling appointments when particular criteria are satisfied. Further, the techniques may include other features to manage a calendar and/or enhance a merchant's experience in scheduling appointments. | 2021-11-11 |
20210350335 | SYSTEMS AND METHODS FOR AUTOMATIC GENERATION OF DRILLING SCHEDULES USING MACHINE LEARNING - Systems and methods for automatically generating drilling schedules are disclosed. According to one embodiment, a method of predicting rig movement between wells includes receiving historical well data regarding individual well types and historical rig data regarding individual rigs, and generating a Markov Chain model from the historical well data and the historical rig data. The Markov Chain model includes a plurality of states and a plurality of links between states. Each state of the plurality of states is a well class derived from the historical well data. Each link indicates a number of rigs that traveled between individual well classes. The method further includes determining, using the Markov Chain model, a probability of rigs moving between individual well classes, and predicting movement of individual rigs of a plurality of rigs between future wells based at least in part on the Markov Chain model. | 2021-11-11 |
20210350336 | AUTHORIZATION OF VEHICLE REPAIRS - In some examples, a vehicle receives authorization information that identifies an automotive service to be performed on the vehicle, the authorization information further indicating approval of performance of the automotive service on the vehicle by an operator of the vehicle and a vehicle manufacturer. Based on the authorization information, the vehicle enables access of an electronic component of the vehicle by an authorized repair entity to perform the automotive service. | 2021-11-11 |
20210350337 | SYSTEMS AND METHODS FOR MANAGING POPULATIONS OF UTILITY POLES - In an example implementation, a method includes receiving, at a processor, historical pole data records representing utility poles and having one or more pole attributes. Likewise, a method includes generating one or more pole subpopulations of historical pole data records having at least one common pole attribute. Further, the method includes performing a predictive algorithm on each pole subpopulation. Finally, the method includes determining, based on a predictive algorithm, the number of poles in the particular subpopulation that are likely to meet a rejection condition within a specified time frame. In another example implementation, a method includes receiving a sample pole data record representing a particular sample data pole and determining the likelihood of the particular sample utility pole meeting a rejection condition within a specified time frame. | 2021-11-11 |
20210350338 | MAINTENANCE MANAGEMENT SYSTEM FOR LABORATORY INSTRUMENTATION - A geospatial maintenance server collects information from lab instruments such as usage information, instrument uptime, operational performance, and other characteristics. Such information may be used to identify upcoming maintenance needs for lab instruments, including usage based preventative maintenance, and unanticipated degradation based maintenance. A geospatial maintenance interface is provided that allows a user to select a certain country, region, state, or other geographic area to view information on lab instruments and maintenance needs within that area. The interface may display graphs showing uptime for various time periods, comparisons to uptime in other areas, maps with symbols indicating areas and types of maintenance needs, and per-device descriptions of maintenance needs. The interface may also be used to automate efficient and economical assignment of technicians to address maintenance tasks. | 2021-11-11 |
20210350339 | Systems And Methods To Utilize An Electronic Garage Shelf - An electronic garage shelf is described. The system includes an electronic garage shelf which may be a metaphor for a shelf in a garage that is used to store parts for a vehicle. Merely for example, the electronic garage shelf may store a token part that signifies a part or smart component such as an oil filter, carburetor, spark plug, on a garage shelf in the user's garage. Further, the metaphor for a shelf in the garage may be expanded to include a virtual part that represents a part or smart component the user wants to acquire. Accordingly, the system may include garage shelf information comprised of virtual part information and token part information where the virtual part information may store virtual parts signifying parts that are desirable for acquisition and the token part information may store token parts signifying parts that are in the possession of the user. | 2021-11-11 |
20210350340 | SECURE UPDATING OF ALLOCATIONS TO USER ACCOUNTS - Systems and methods for secure updating of allocations to user accounts are provided. In one aspect, a system includes one or more computer readable storage mediums having program instructions embodied therewith, and one or more processors configured to cause the system to identify an external institution associated with the future transfers, and initiate, based on the identified external institution, a proxy instance of a software application of the external institution to determine a set of endpoints and a set of the future transfers to the endpoints. The system is further configured to receive a request from a user to change at least one of the set of the endpoints and the set of the further transfers to the endpoints, and use the proxy instance, executing the requested change to at least one of the set of the endpoints or the set of the future transfers to the endpoints. | 2021-11-11 |
20210350341 | METHOD FOR COLLECTING TRANSPORTATION FARE WITH LOCATION-BASED MOBILE ONETIME TICKETS - Disclosed is a method for collecting a transportation fare using a mobile terminal. When the mobile terminal is adjacent to transportation means, a collection server issues a onetime boarding ticket which grants an authority to get on the transport means at a current location of the mobile terminal and transmits the onetime boarding ticket to the mobile terminal. A validator in the transportation means validates the onetime boarding ticket through short-range communication with the mobile terminal and transmits the validated result to the collection server. The collection server collects the transportation fare to the mobile terminal. | 2021-11-11 |
20210350342 | MONETARY TRANSACTION SYSTEM - Embodiments are directed to monetary transaction system for conducting monetary transactions between transaction system subscribers and other entities. In one scenario, the monetary transaction system includes a mobile device that runs a monetary transaction system application. The monetary transaction system also includes a subscriber that has a profile with the system. The subscriber indicates a transaction that is to be performed with the monetary transaction system. The system further includes a monetary transaction system processor that performs the transactions specified by the subscriber including communicating with a monetary transaction database to determine whether the transaction is permissible based on data indicated in the subscriber's profile. The monetary transaction system also includes at least one entity that is to be involved in the specified transaction, where the entity has a profile with the monetary transaction system. This entity may be a person, a retail store, an agent or other entity. | 2021-11-11 |
20210350343 | BLOCKCHAIN COMPLIANCE VERIFICATION NETWORK - An example operation includes one or more of capturing message content from messages between a sender and receiver which comprise information about a transfer of value from the sender to the receiver, detecting information about a compliance check within the message content which indicates whether the transfer of value complies with jurisdictional regulations, and recording the message content including the detected information about the compliance check via a blockchain. | 2021-11-11 |
20210350344 | INFORMATION PROCESSING SYSTEM, MOBILE TERMINAL, AND COMPUTER READABLE RECORDING MEDIUM - An information processing system includes: a mobile terminal including a display, and a first processor including hardware; and a server including a second processor including hardware. The first processor is configured to display, on the display, tip information including whether tipping a service provider is expected and a standard tip amount in a region included in an itinerary, based on a travel plan registered by a user of the mobile terminal, and output, to the server, a settlement request of a tip using electronic money deposited in a first electronic wallet associated with the user. The second processor is configured to calculate the standard tip amount in the region included in the itinerary, output the tip information including the calculated standard tip amount to the mobile terminal, and perform settlement processing of the tip using the first electronic wallet in response to the settlement request. | 2021-11-11 |