17th week of 2022 patent applcation highlights part 49 |
Patent application number | Title | Published |
20220129767 | TRANSMITTER IDENTIFYING APPARATUS, TRANSMITTER IDENTIFYING METHOD, AND PROGRAM - Provided is a transmitter identifying apparatus configured to receive signals from terminals, extract a feature from the received signal, learn a first feature of the signal that is known as a signal received from a terminal to be discriminated, generate a first classifier for discriminating the terminal to be discriminated, input to the first classifier a second feature of the signal that is unknown whether the signal is received from the terminal to be discriminated, calculate a likelihood distribution representing likelihood for each terminal, analyze the likelihood distribution, determine whether to apply a tentative label to the second feature, and apply the tentative label to the second feature, based on a result of the analysis. | 2022-04-28 |
20220129768 | METHOD AND APPARATUS FOR TRAINING MODEL, AND METHOD AND APPARATUS FOR PREDICTING TEXT - The present disclosure provides a method and apparatus for training a model. The method can include: acquiring at least one paragraph text, each paragraph text comprising a plurality of fine-grained samples; processing a fine-grained sample in the each paragraph text to obtain a coarse-grained sample; annotating the coarse-grained sample in the each paragraph text and obscuring one coarse-grained sample using a mask of one fine-grained sample to obtain a training sample set, wherein the training sample set comprises a plurality of annotated texts, and each annotated text comprises at least one of a fine-grained sample or an annotated coarse-grained sample; and training a fine-grained model using the training sample set to obtain a trained fine-grained model, the fine-grained model being used to learn content of a previous fine grain size and predict content of an adjacent coarse grain size. | 2022-04-28 |
20220129769 | MODULAR NEURAL NETWORK COMPUTING APPARATUS WITH DISTRIBUTED NEURAL NETWORK STORAGE - Modular neural network computing apparatus are provided with distributed neural network storage. In various embodiments, a neural inference processor comprises a plurality of neural inference cores, at least one model network interconnecting the plurality of neural inference cores, and at least one activation network interconnecting the plurality of neural inference cores. Each of the plurality of neural inference cores comprises memory adapted to store input activations, output activations, and a neural network model. The neural network model comprises synaptic weights, neuron parameters, and neural network instructions. The at least one model network is configured to distribute the neural network model among the plurality of neural inference cores. Each of the plurality of neural inference cores is configured to apply the synaptic weights to input activations from its memory to produce a plurality of output activations to its memory. The at least one activation network is configured to provide input activations to each of the plurality of neural inference cores and to obtain output. | 2022-04-28 |
20220129770 | IMPLEMENTING RELATION LINKING FOR KNOWLEDGE BASES - A computer-implemented method according to one embodiment includes identifying a natural language query; translating the natural language query into an intermediate representation; converting the intermediate representation into one or more query triples; and performing relation linking between each of the one or more query triples and a plurality of knowledge base triples. | 2022-04-28 |
20220129771 | METHODS AND SYSTEMS FOR PRIVACY PRESERVING INFERENCE GENERATION IN A DISTRIBUTED COMPUTING ENVIRONMENT - Certain aspects of the present disclosure provide techniques for performing inferences in a distributed computing environment. An example method generally includes receiving a request to perform an inference with respect to a set of input data. One or more client devices are selected for use in performing the inference with respect to the set of input data. A request to perform the inference is transmitted to the selected one or more client devices. The request generally includes an anonymized, vectorized version of the set of input data such that the selected one or more client devices are to perform the inference based on anonymized data. An inference response is received from each of the selected one or more client devices. An aggregated inference response is generated based on the inference response received from each respective client device of the selected one or more client devices and a reputation score associated with the respective client device, and the aggregated inference response is output to a requesting service. | 2022-04-28 |
20220129772 | SYSTEM AND METHOD HAVING THE ARTIFICIAL INTELLIGENCE (AI) ALGORITHM OF K-NEAREST NEIGHBORS (K-NN) - The present invention relates to a system and method having the Artificial Intelligence (AI) algorithm of k-Nearest Neighbors (k-NN) as logic gates and SRAM/DRAM/non-volatile memory. One of the advantages of the system is that it utilizes a low power consumption. This is compared to few watts power consumption for existing AI platform available in the market The system of the present invention is also very efficient as it does not need CPU or GPU to do the intensive calculation, as it is fully logic design. In addition, the system of the present invention is also low in cost due to small die size as it does not require any CPU or GPU to perform the intensive computation. | 2022-04-28 |
20220129773 | FRACTAL COGNITIVE COMPUTING NODE, COMPUTER-IMPLEMENTED METHOD FOR LEARNING PROCEDURES, COMPUTATIONAL COGNITION CLUSTER AND COMPUTATIONAL COGNITION ARCHITECTURE - A fractal cognitive computing node, a computer-implemented method for learning procedures, a computational cognition cluster, and a computational cognition architecture are provided. The FCN comprises a first input to receive a first input signal, a first output to provide a first output signal, a second input to receive a second input signal and a third input signal to receive a SA parameter. A memory of the FCN stores a collection of items. A processing unit implements a function that compares a combination of said first and second input signals with the stored collection and calculates a similarity measure for each compared item. The first output signal is calculated as a selection of the compared items having a similarity measure greater than said SA parameter. If the selection is empty, a new item is added to said memory. If not empty, the first output signal is set to said selection. | 2022-04-28 |
20220129774 | INFORMATION PROCESSING SYSTEM AND INFORMATION PROCESSING METHOD - An information processing system includes a predictor, a contribution calculator, and a supplemental base generator. The system accesses databases that store relevance between feature variables in case data and a contribution of a feature variable in the case data to a result of prediction. The contribution calculator calculates the contribution of each of the feature variables in the evaluation target data to the output of the predictor, and outputs the calculated contributions and the acquired evaluation target data. The supplemental reason generator extracts a group of data proximate to the value and the contribution of a first feature variable, identifies a second feature variable relevant to the first feature variable, generates supplemental reason data based on a distribution of the proximate data group within a distribution of the second feature variable by use of the case data, and outputs the generated supplemental reason data. | 2022-04-28 |
20220129775 | PREDICTION AND METROLOGY OF STOCHASTIC PHOTORESIST THICKNESS DEFECTS - A mask pattern for a semiconductor device can be used as an input to determine a photoresist thickness probability distribution using a machine learning module. For example, the machine learning module can determine a probability map of Z-height. This can be used to determine stochastic variation in photoresist thickness for a semiconductor device. The Z-height may be calculated at a coordinate in the X-direction and Y-direction. | 2022-04-28 |
20220129776 | METHODS AND APPARATUS TO PREDICT SPORTS INJURIES - A disclosed example method to predict an injury for a target player on a target date includes determining a first probability of injury of the target player based on probabilities of injuries of second players having similarities with the target player; determining a second probability of injury of the target player based on injuries of the target player; determining a third probability of injury of the target player based on the first probability of injury of the target player and the second probability of injury of the target player; and generating, by executing an instruction with the processor, a report of a predicted probability of injury of the target player for the target date based on the third probability of injury of the target player. | 2022-04-28 |
20220129777 | ARTIFICIAL INTELLIGENCE AND/OR MACHINE LEARNING MODELS TRAINED TO PREDICT USER ACTIONS BASED ON AN EMBEDDING OF NETWORK LOCATIONS - A computer-implemented method can facilitate delivery of targeted content to user devices in situations in which historic tracking data (e.g., cookie data) is generally unavailable and/or unreliable. A p-dimensional embedding of websites can be generated based on a group of user devices for whom tracking data is available. Conversion event data that indicates indicating whether that audience member performed a conversion action can be received. A machine learning model can be trained using the conversion event data and the positions of websites appearing in the conversion event data within the p-dimensional embedding to predict a likelihood of conversion and/or a type of content to provide given a position in the p-dimensional embedding. When an indication that a user device is accessing a website is received, a position of that website in the p-dimensional embedding can be determined and targeted content can be delivered to the user device. | 2022-04-28 |
20220129778 | Dual-type Qubits System, Quantum Network and Construction Method Thereof - A dual-type qubit system, a quantum network based on the dual-type qubit system and a construction method thereof are provided. The dual-type qubit system includes two types of qubits. The two types of gubits, with different functions, are implemented by the same species of ions. The ion has at least two sets of long-lived energy levels. The two types of qubits, carried by spectrally different sets of long-lived energy levels of the ions, are convertible to each other. | 2022-04-28 |
20220129779 | Qubit Detection Using Superconductor Devices - A circuit includes a resonant circuit and a detection circuit. The detection circuit includes a superconducting component coupled with the resonant circuit, and an impedance component coupled to the superconducting component. The superconducting component is configured to receive an input current. The superconducting component is configured to carry a first current that has a current density that is less than a threshold current density, while the first resonant circuit is in the first state, and carry a second current that has a current density that exceeds the threshold current density while the first resonant circuit is in the second state, thereby transitioning the superconducting component to a non-superconducting state while the resonant circuit is in the second state. A method of operating the detection circuit is also described herein. | 2022-04-28 |
20220129780 | INFORMATION PROCESSING APPARATUS, ARITHMETIC DEVICE, AND INFORMATION PROCESSING METHOD - Searching for a ground state of an Ising model is performed so that a combinatorial optimization problem is efficiently solved. An information processing apparatus stores an energy function setting an interaction between an i-th spin of a first spin group and a j-th spin of a second spin group so that the i-th spin of the first spin group and the j-th spin of the second spin group have the same value in a ground state in an interaction relationship of an Ising model represented as a complete bipartite graph connecting N spins of the first spin group and of the second spin group, and searches for the ground state of the Ising model based on the energy function and information unique to the spins. The search for the ground state of the Ising model is performed by applying an algorithm of simulated annealing method to the above-mentioned energy function. | 2022-04-28 |
20220129781 | METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR IMPROVING INTERPRETABILITY OF SOFTWARE BLACK-BOX MACHINE LEARNING MODEL OUTPUTS - Methods, apparatuses, systems, computing entities, and/or the like are provided. An example method may include receiving a data object comprising feature metadata and flag metadata generated by at least a software black-box machine learning model via processing the feature metadata associated with the data object; selecting a subset of training data objects from a plurality of training data objects associated with the software black-box machine learning model based at least in part on the feature metadata by mapping the data object into a multi-dimensional mapping space comprising mappings of the plurality of training data objects; determining a subset of note metadata corresponding to the subset of training data objects; generating summary metadata for the data object based at least in part on a plurality of word scores associated with the subset of note metadata; and causing rendering of the summary metadata on a user computing entity. | 2022-04-28 |
20220129782 | INDUSTRIAL PROCESS CONTROL SYSTEM AS A DATA CENTER OF AN INDUSTRIAL PROCESS PLANT - A distributed control system (DCS) of an industrial process plant includes a data center storing a plant information model that includes a description of physical components, the control framework, and the control network of the plant using a modeling language. A set of exposed APIs provides DCS applications access to the model, and to an optional generic framework of the data center which stores basic structures and functions from which the DCS may automatically generate other structures and functions to populate the model and to automatically create various applications and routines utilized during run-time operations of the DCS and plant. Upon initialization, the DCS may automatically sense the I/O types of its interface ports, detect communicatively connected physical components within the plant, and automatically populate the plant information model accordingly. The DCS may optionally automatically generate related control routines and/or I/O data delivery mechanisms, HMI routines, and the like. | 2022-04-28 |
20220129783 | Acceptance Status Classification of Product-Related Data Structures Using Models With Multiple Training Periods - Techniques are provided for acceptance status classification of product-related data structures using models with multiple training periods. One method comprises obtaining data for a given product-related data structure; evaluating first features related to the given product-related data structure using the obtained data; applying the first features related to the given product-related data structure to one or more models trained using multiple different training periods to obtain a plurality of second features, wherein each of the second features indicates a prediction related to an acceptance status of the given product-related data structure by at least one model for a respective training period; and aggregating at least the second features to obtain a classification related to an aggregate acceptance status of the given product-related data structure. A weighting of at least some of the first and second features can be learned during a training phase. | 2022-04-28 |
20220129784 | PREDICTING TOPIC SENTIMENT USING A MACHINE LEARNING MODEL TRAINED WITH OBSERVATIONS IN WHICH THE TOPICS ARE MASKED - A facility for determining sentiments expressed by a natural-language text string for each of one or more topics is described. In the natural-language text string, the facility identifies one or more topics. For each identified topic, the facility replaces the topic in the natural-language text string with a masking tag that occupies the same position in the natural-language text string as the topic. After the replacing, the facility applies a machine learning model to the natural-language text string to obtain a predicted sentiment for each of the identified topics. | 2022-04-28 |
20220129785 | SHARED PREDICTION ENGINE FOR MACHINE LEARNING MODEL DEPLOYMENT - There are provided systems and methods for a shared prediction engine for machine learning model deployment. A service provider may provide AI hosting platforms that allow for clients, customers, and other end users to upload AI models for execution, such as machine learning models. A user may utilize one or more user interfaces provided to a client device by the service provider to select machine learning models to perform predictive services based on input features provided in an input string. Thereafter, a machine learning engine may host and execute the models during an instance of the engine provided to the client device. The engine may then process the input features in a processing thread remotely from the client device during the instance so that machine learning predictions may be determined. Thereafter, an output string for the predictions and model explanations may be provided to the client device. | 2022-04-28 |
20220129786 | FRAMEWORK FOR RAPIDLY PROTOTYPING FEDERATED LEARNING ALGORITHMS - A framework for rapidly prototyping federated learning algorithms. Specifically, the disclosed framework proposes a method and system for evaluating different hypotheses for configuring learning model, which may be optimized through federated learning. Through the disclosed framework, these hypotheses may be tested for scalability, hardware and network resource performance, as well as for new learning state compression and/or aggregation technique effectiveness. Further, these hypotheses may be tested through federated learning simulations, which avoid costs associated with deploying these hypotheses to be tested across production systems. | 2022-04-28 |
20220129787 | MACHINE LEARNING MODEL VERIFICATION FOR ASSESSMENT PIPELINE DEPLOYMENT - There are provided systems and methods for machine learning model verification for assessment pipeline deployment. A service provider may provide AI hosting platforms that allow for clients, customers, and other end users to upload AI models for execution, such as machine learning models. A user may utilize one or more user interfaces to provide model data and files, such as model artifacts, model requirements, and model test data. Thereafter, a model deployer may validate that the AI hosting platform has the required code packages and other model framework requirements for the AI model. The model test data may be used to ensure that the AI model is behaving correctly and providing the correct predictions based on input data and features. If so, the AI model may be deployed in a live production computing environment and used for predictive services. | 2022-04-28 |
20220129788 | CONFIDENCE VOLUMES FOR EARTH MODELING USING MACHINE LEARNING - Aspects of the present disclosure relate to confidence volumes for earth modeling using machine learning. A method includes receiving detected data, wherein the detected data includes formation attributes relating to one or more depth points along or near a wellbore. The method further includes providing inputs to a plurality of machine learning models based on the detected data. The method further includes receiving output values from the plurality of machine learning models based on the inputs. The method further includes determining a measure of variance among the output values. The method further includes generating a confidence indicator related to the output values based on the measure of variance. | 2022-04-28 |
20220129789 | CODE GENERATION FOR DEPLOYMENT OF A MACHINE LEARNING MODEL - In some implementations, a system may receive a first set of files output based on a machine learning model that is trained using training data that includes a set of values, for each of multiple observations, that corresponds to a set of features. The system may receive a second set of files that includes information that identifies a set of valid values corresponding to the set of features. The system may generate, based on the first set of files and the second set of files, code for generating the output score from the trained model based on a set of input values that are input to the trained model. The system may deploy the code for execution in a computing environment. | 2022-04-28 |
20220129790 | SYSTEM AND METHOD FOR DEEP ENRICHED NEURAL NETWORKS FOR TIME SERIES FORECASTING - The present teaching relates to method, system, medium, and implementations for machine learning. Upon receiving input data associated with a time series, hidden representations associated with the time series in a feature space are obtained and used to generate a query vector in a query space. Such generated query vector is then used to query relevant historic information related to the time series. The query vector and the relevant historic information are aggregated to generate at least one queried vector, which is aggregated with the hidden representations to generate enriched hidden representations that enhance the expressiveness of the hidden representations. | 2022-04-28 |
20220129791 | SYSTEMATIC APPROACH FOR EXPLAINING MACHINE LEARNING PREDICTIONS - A systematic explainer is described herein, which comprises local, model-agnostic, surrogate ML model-based explanation techniques that faithfully explain predictions from any machine learning classifier or regressor. The systematic explainer systematically generates local data samples around a given target data sample, which improves on exhaustive or random data sample generation algorithms. Specifically, using principles of locality and approximation of local decision boundaries, techniques described herein identify a hypersphere (or data sample neighborhood) over which to train the surrogate ML model such that the surrogate ML model produces valuable, high-quality information explaining data samples in the neighborhood of the target data sample. Combining this systematic local data sample generation and a supervised neighborhood selection approach to weighting generated data samples relative to the target data sample achieves high explanation fidelity, locality, and repeatability when generating explanations for specific predictions from a given model. | 2022-04-28 |
20220129792 | METHOD AND APPARATUS FOR PRESENTING DETERMINATION RESULT - A computer-readable recording medium having stored therein a determination result presenting program executable by one or more computers, the program including instructions for calculating a first contribution of first data including multiple factors with respect to a first prediction result obtained by inputting the first data into a machine learning model; calculating, by referring to information associating a second contribution of second data including multiple factors with respect to a second prediction result obtained by inputting the second data into the machine learning model with a determination result by a user on the second prediction result, a similarity between a third contribution and a fourth contribution obtained by adjusting the first contribution and the second contribution in accordance with a first factor identified by the determination result, respectively; and controlling, based on the similarity, a priory of a determination result to be presented among determination results in the information. | 2022-04-28 |
20220129793 | SYSTEM, METHOD, AND NON-TRANSITORY STORAGE MEDIUM - A system managing a first model generated by machine learning, the system comprising: at least one processor and at least one memory functioning as: a substitution unit configured to substitute a first input value included in an input with a second input value when a first prediction result which is a prediction result obtained using the input including the first input value by the first model satisfies a predetermined condition; a preservation unit configured to preserve a second prediction result which is a prediction result obtained using an input obtained through the substitution by the first model; a reception unit configured to receive feedback on the second prediction result; and a generation unit configured to generate a second model by performing machine learning using first learning data formed by the input including the first input value and the second prediction result based on the received feedback. | 2022-04-28 |
20220129794 | GENERATION OF COUNTERFACTUAL EXPLANATIONS USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNIQUES - In some implementations, a system may determine, based on a qualification model, a prediction output of an analysis of user information. The system may determine, based on a generator model, a plurality of counterfactual explanations associated with the prediction output and the user information. The system may cluster, according to a clustering model, the plurality of counterfactual explanations into clusters of counterfactual explanations. The system may select, based on a classification model, a counterfactual explanation from a cluster of the clusters of counterfactual explanations. The system may provide a request for feedback associated with the counterfactual explanation. The system may receive feedback data associated with the request for feedback. The system may update a data structure associated with the clustering model based on the feedback data and the counterfactual explanation to form an updated data structure. The system may perform an action associated with the updated data structure. | 2022-04-28 |
20220129795 | SYSTEMS AND METHODS FOR COGNITIVE INFORMATION MINING - Systems and methods for cognitive information mining are provided. A cognitive information extraction system provides intelligent information extraction from documents in different formats, types and forms. Since a huge portion of the data and information is still stored in unstructured documents in physical format, the system provides for a framework to extract information from such documents. Further, even in the digital form, the documents are available in multiple different formats, which can act as a great hindrance to useful extract information. The invention focuses upon mitigating this scenario by combining multiple AI models and modules to create a framework for document processing and human-machine interaction for training and QC verification, wherein the framework provides user the flexibility to work upon multiple types of documents, and also ensures that accuracy is maintained while the information is being extracted. The framework is further capable of continuously updating and creating advanced versions by an automated feedback system. | 2022-04-28 |
20220129796 | VEHICLE RESERVATION PLATFORM - Aspects of the present disclosure relate to a vehicle reservation platform (VRP). In examples, one or more inventory partners make vehicles available for reservation via the VRP. Accordingly, a customer of the vehicle reservation platform is able to schedule a reservation of an available vehicle. The VRP may offer different subscription tiers, where each subscription tier is associated with a predetermined number of credits for a given time period, potentially on a recurring basis. Accordingly, rather than directly purchasing a vehicle reservation, the customer may exchange credits associated with his or her user account for a vehicle reservation via the VRP. If the user account has an insufficient credit balance, the customer may purchase additional credits in order to address the deficiency. In examples, a credit cost of a vehicle reservation is static or may be determined dynamically based on a variety of factors. | 2022-04-28 |
20220129797 | SYSTEMS AND METHODS FOR FORMULATING OR EVALUATING A CONSTRUCTION COMPOSITION - Example embodiments provide systems and methods for formulating and evaluating a construction composition (such as a mixture for concrete, asphalt, mortar, etc.). According to exemplary embodiments, a predictive model, artificial intelligence, machine learning algorithm, etc., may be trained using historical performance data and current deployment information. Based on a job specification that identifies various requirements for the construction composition and a set of available inputs (e.g., raw materials, mixing techniques, etc.), the model, AI, or algorithm, may output one or more formulations that meet or best approximate the requirements. The formulations may be provided to a simulation to estimate or predict their performance. The performance characteristics of the output formulation(s) may be displayed. Optionally, the system may control mixing machinery to produce the formulation. Some embodiments may use these capabilities to evaluate an existing or proposed construction composition, rather than proposing a new construction composition. | 2022-04-28 |
20220129798 | SYSTEM AND METHOD FOR EXTENDING AND VALIDATING A SEMANTIC MODEL FOR USE WITH AN ANALYTIC APPLICATIONS ENVIRONMENT - In accordance with an embodiment, described herein is a system and method for extending a semantic model, for use with an analytic applications, analytics cloud, or other type of business intelligence or data analytics environment. A semantic model extension process introspects a customer's data, for example as stored in a data warehouse instance, and evaluates metadata associated therewith to determine custom facts, custom dimensions, and/or other types of data source model extensions. A payload or indication of such extensions is used to extend or customize a semantic model that enables surfacing of business intelligence or data analytics at a presentation layer. In accordance with an embodiment, the system can include an administrative console application and user interface that allows a user to view and validate a customer's data as loaded from their source environment into a data warehouse instance for use with other types of data analytics environments. | 2022-04-28 |
20220129799 | METHOD FOR DETERMINING VEHICLE GETTING-ON AND GETTING-OFF PLACES AND OPERATION SERVER UTILIZING THE SAME - A method for determining vehicle get-on-and-off places includes receiving first destination and first origin with a vehicle call request, setting first candidate get-on places within predetermined distance with respect to the first origin and first candidate get-off places, generating first get-on-and-off pairs by combination of the first candidate get-on places and the first candidate get-off places, determining first passenger moving time, post-get-off walking time from the first candidate get-off place to the first destination, and vehicle travel time to travel from the first candidate get-on place to the first candidate get-off place, determining a vehicle running time to travel through the first candidate get-on place and the first candidate get-off place, determining total travel time by summing the first passenger moving time and the vehicle running time, and selecting first get-on place and first get-off place as a first candidate get-on place and a first candidate get-off place. | 2022-04-28 |
20220129800 | Global File Flow Forecasting System and Methods of Operation - Dataflow Meteorology Aggregation monitors data deployment across a global 24.times.7 workflow. File operation metrics are aggregated at regional server peers over a daily cycle of computation. The system forecasts demand for resources and stages prepositioned virtual machines in anticipation of demand to ameliorate latency. Patterns of demand for dynamic or invariant data among regional time zones over the course of a workday are profiled. A data centric workflow is optimized by tracking file operations during a 24-hour global computation cycle. Each file operation is monitored with location, file identifier, and location by date-time. Critical paths through the workflow are traced and bottlenecks identified. On a work day cycle, processor images and file contents are pre-positioned for anticipated demands to reduce searching for and transmission of portions of data sets. Peer delegated subspace servers are assigned resources and assigned to network node where they can perform with least latency. | 2022-04-28 |
20220129801 | PLANNING SUPPORT APPARATUS, PLANNING SUPPORT METHOD, AND PLANNING SUPPORT SYSTEM - A planning support apparatus includes a storage device and a computing device. The storage device stores production record information, processing parameter information, and article attribute information for each of the articles. The production record information includes items of processes, facilities, articles, and production time. A computing device executes a process of generating a model for estimating the production time, a process of correcting production time under nonstandard conditions to production time under standard conditions on the basis of the model, and a process of generating a production time calculation formula for estimating production time from article attributes under the production conditions. | 2022-04-28 |
20220129802 | COMPUTER SYSTEM AND PLAN EVALUATION METHOD - A computer system is coupled to a first database and a second database, the first database storing model information defining a model, the second database storing history data indicating a plan developed in a past. The computer system generates, in a case of receiving an evaluation query including evaluation plan data that indicates an evaluation target plan, a plurality of pieces of the pair data each of which is a pair of the evaluation plan data and the history data; obtains a plurality of prediction results by inputting the plurality of pieces of the pair data to the model; select a piece of the history data that has an evaluation index small in difference from the evaluation index of the evaluation target plan based on the plurality of prediction results; and output the selected piece of the history data. | 2022-04-28 |
20220129803 | DETECTING SUPPLY CHAIN ISSUES IN CONNECTION WITH INVENTORY MANAGEMENT USING MACHINE LEARNING TECHNIQUES - Methods, apparatus, and processor-readable storage media for detecting supply chain issues in connection with inventory management using machine learning techniques are provided herein. An example computer-implemented method includes obtaining data pertaining to inventory items in connection with a supply chain; training machine learning techniques using the obtained data, wherein training the machine learning techniques comprises determining upper bounds and lower bounds for parameters related to the supply chain; detecting anomalies in audit data pertaining to at least one inventory item within the supply chain by processing the audit data using the machine learning techniques; generating a graph representing the supply chain based on the obtained data and the audit data; identifying at least one issue within the at least one supply chain by processing the graph in connection with the detected anomalies using graph algorithms; and performing an automated action based on the identified issue(s). | 2022-04-28 |
20220129804 | Systems and Methods for Integrated Technology Risk Management - Systems, apparatuses, and methods provide a tool for project and organizational risk awareness and management. The tool may take the form of a set of user interface elements, a set of processes, and a risk management methodology. The tool operates to combine risk assessment experts and technology experts into a common approach or function. This assists in providing a realistic assessment of the risk associated with a project or task, including its impact on an organization as a whole. The integrated risk evaluation and management platform may enable consideration of the mitigation steps that are presently being used, that may be available but are not presently being used, or that are required or should be considered to manage a type or source of risk. | 2022-04-28 |
20220129806 | AUTOMATED RISK VISUALIZATION USING CUSTOMER-CENTRIC DATA ANALYSIS - A customer risk trigger associated with a customer may be identified. A response to the customer risk trigger may be detected. First risk analysis data related to the customer risk trigger may be gathered, based on the response, from a first datastore. Second risk analysis data related to the customer risk trigger may be gathered, based on the response, from a second datastore. A customer risk profile to model risk attribute(s) of the customer may be gathered. The risk attributes may represent a risk correlation between the customer and a prohibited act. Customer risk visualization tool(s) configured to facilitate visual user interaction with the customer risk profile may be gathered. The customer risk visualization tools may be rendered in a display of the computing system. The customer risk visualization tools provide a customer-centric view of risk for various applications, including anti-money laundering applications. | 2022-04-28 |
20220129807 | SYSTEM AND METHOD FOR EVALUATING IMAGES TO SUPPORT MULTIPLE RISK APPLICATIONS - In some embodiments, image input data is received from multiple sources. The received image input data may then be aggregated and mapped to create a set of image input data. An event in the set of image input data may be automatically detected, such as by being triggered by a rule and an associated tag. An image mining result database may be updated by adding an entry to the database identifying each detected event and the triggering rule. An indication associated with the image mining result database may then be transmitted to a plurality of risk applications. | 2022-04-28 |
20220129808 | SUPPLY CHAIN FINANCIAL ORCHESTRATION SYSTEM WITH CONFIGURABLE EVENTS THAT TRIGGER TASKS - A system is provided that processes supply chain events. The system defines a supply chain event type. The system further configures a supply chain event of the supply chain event type as a task generating event, where the task generating event indicates that one or more tasks that are defined for a supply chain financial orchestration flow are to be executed, and where the supply chain financial orchestration flow defines a trade relationship between a first entity and a second entity. The system further receives a supply chain event associated with the supply chain financial orchestration flow. The system further determines whether the supply chain event is a task generating event. The system further executes the one or more tasks that are defined for the supply chain financial orchestration flow where the supply chain event is a task generating event. | 2022-04-28 |
20220129809 | SYSTEMS AND METHODS FOR DISTRIBUTED BUSINESS PROCESSMANAGEMENT - Systems and methods for distributed business process management are disclosed. In one embodiment, in an information processing apparatus comprising at least one computer processor, a method for configuration-driven distributed orchestration using different software components to execute a complex business process may include: (1) receiving a request for a runtime flow from a flow management adapter; (2) reading a flow configuration from the request; (3) creating an instance of the runtime flow; (4) initiating a service call to each component in the runtime flow; (5) creating a runtime instance in a database along with a state of each dependency in the runtime flow; and in response to external dependencies being met: (6) building and sending message to the components using a message builder; (7) initiating flow actions via an event-driven scheduler; and (8) making a service call to at least one of the components using the message builders. | 2022-04-28 |
20220129810 | MACHINE LEARNING FOR VEHICLE ALLOCATION - Media, method and system for generating an itinerary using machine learning. To accomplish this, a reinforcement learning model is trained on historical data of past trips taken and their corresponding costs. The reinforcement learning model uses a self-play algorithm to train itself to generate itineraries which minimize the cost. The reinforcement learning model is then used to train a supervised learning model. The trained supervised learning model is given a set of input requirements and generates as an output an itinerary to send to a user. | 2022-04-28 |
20220129811 | PROVISION OF REMOTE APPLICATION ACTION FEED CARDS - Described embodiments provide systems and methods for providing remote application action feed cards. A ticket can be received from a client device. The ticket can be indicative of an action of a remote application and the remote application can be accessible by a group of users. The device can receive information about the action identified in the received ticket from at least one user of the group of users in response to provision of a determined key and the received ticket to the group of users. The device can provide the received information to client devices of user of the group of users to identify actions of other users of the group of users. | 2022-04-28 |
20220129812 | SYSTEM FOR SYNCHRONIZING ENTERTAINMENT PRODUCTION RESOURCE PROCUREMENT WITH PRODUCTION PROJECT SCHEDULING - Producing media content such as films, television shows, commercials, and other formats requires aggregating a large number of resources before, during, and after filming. A method of production scheduling that directly connects to real-time accessible marketplace resources (labor, equipment, services) to help producers find and hire the equipment, creative services, and human capital needed to produce a film or other audiovisual media is disclosed. This method helps producers schedule and book the resources they need to produce content. The resources are tied to a smart timeline that synchronizes production schedule changes against available resources. The method also alerts suppliers and producers of any changes to the production timeline. | 2022-04-28 |
20220129813 | SYSTEM AND METHOD FOR GENERATING STRATEGIES FOR PROCUREMENT CATEGORIES - A procurement expert system and specifically a system and method for generating strategies for procurement categories. The expert system implements a series of procurement related processes which identify a purchaser's positioning within a procurement category relative to its suppliers. The position is determined based on specific answers to a plurality of questions to which weights have been assigned. Once the purchaser's position has been determined, one or more strategic levers are identified. One or more strategic objectives are also identified using a mapping between strategic levers and strategic objectives. The expert system may revise its selection of strategic objectives based on specific answers provided by the purchaser to strategy revision questions. | 2022-04-28 |
20220129814 | METHOD FOR AUTOMATICALLY EXTRACTING VEHICLE GETTING-ON-AND-OFF PLACES AND OPERATION SERVER UTILIZING THE SAME - A method for extracting a get-on-and-off place where a vehicle may stop, which is performed by an operation server, includes, extracting vehicle road sections accessible by foot, filtering the extracted road sections by excluding a road section in which stopping of the vehicle is not permitted under traffic regulations, from the extracted road sections, selecting n quantity of virtual get-on-and-off places allowing getting on-and-off from the filtered roads, determining the walking time from each in all points of the service area to closest get-on-and-off place point, setting a longest time among walking times of all points of the service area, as a maximum walking time, and select a predetermined quantity of virtual get-on-and-off places from among the n quantity of virtual get-on-and-off places such that the selected maximum walking time is minimum, where the quantity k may be a natural number smaller than number n. | 2022-04-28 |
20220129815 | CHARGE MANAGEMENT DEVICE, CHARGE MANAGEMENT METHOD, AND MOBILE BODY - A charge management device includes an interface that acquires information related to a schedule of a user, and a control unit that manages a charge schedule of a battery of a mobile body used by the user based on the information related to the schedule of the user. The interface outputs a question about the schedule of the user and acquires an answer to the question from the user. The control unit updates the schedule of the user based on the answer from the user. | 2022-04-28 |
20220129816 | METHODS AND ARRANGEMENTS TO MANAGE REQUIREMENTS AND CONTROLS, AND DATA AT THE INTERSECTION THEREOF - Logic may process documents, search documents, test controls, and self-heal control management. Logic may ingest and/or process requirements from documents and associate requirements with controls and/or other data types such as issues, events, test results, outputs, questions and answers (Q&As), and/or the like. Logic may train an ingestion engine to identify requirements. Logic may implement automatic control testing including inference and performance of remedial actions. And logic may include self-healing control management including inference of new controls based on uncorrelated requirements, inference of remedial actions based on the new controls, and performance of the remedial actions. | 2022-04-28 |
20220129817 | DEMAND AWARE REPLENISHMENT SYSTEM - Methods and systems for managing supply chains are disclosed. Replenishment of items within retail stores and distribution centers is optimized to respond to real-time demands. One method includes receiving demand signals corresponding to a sold inventory items and evaluating those demand signals against real-time inventory positions and demand forecasts for that particular inventory item to determine whether to replenish the inventory item and how much inventory to replenish. A router service for assessment of such demand signals is also disclosed. | 2022-04-28 |
20220129818 | LIFECYCLE FRAGMENT AND DYNAMIC DISCOVERY OF LIFECYCLE FRAGMENT AT RUNTIME - Systems and methods for are provided that make lifecycles flexible, so the behavior of the lifecycle can be changed dynamically at runtime based on certain conditions. Embodiments include a system and method that enables the use and reuse of lifecycle fragments in a lifecycle process. Lifecycle fragments can be discovered and executed at runtime based on input data and other conditions to provide flexibility and efficiency. | 2022-04-28 |
20220129819 | ORGANIZATION OF SCRIPT PACKAGING SEQUENCE AND PACKAGING SYSTEM SELECTION FOR DRUG PRODUCTS USING AN ARTIFICIAL INTELLIGENCE ENGINE - A method includes receiving a first plurality of batches, each of the first plurality of batches including a plurality of scripts identifying a plurality of drug products, respectively, and each of the first plurality of batches defining a first packaging sequence for the plurality of drug products identified by the plurality of scripts; receiving operational status information for each of a plurality of drug product packaging systems; and organizing, using an artificial intelligence engine, the plurality of scripts from the first plurality of batches into a second plurality of batches based on the operational status information received for each of the plurality of drug product packaging systems, the second plurality of batches defining a second packaging sequence for the plurality of drug products identified by the plurality of scripts. | 2022-04-28 |
20220129820 | DATA STREAM NOISE IDENTIFICATION - An information handling system may include at least one processor, and a non-transitory memory communicatively coupled to the at least one processor. The information handling system may be configured to: receive a data stream of data points indicative of a parameter of a monitored system; determine local maxima and minima based on the data stream; determine relative amplitudes of the local maxima and minima based on an absolute value of differences between consecutive ones of the local maxima and minima; partition the relative amplitudes into a plurality of clusters; and determine at least one of the plurality of clusters as at least one noise cluster. | 2022-04-28 |
20220129821 | RETAIL TRAFFIC ANALYSIS STATISTICS TO ACTIONABLE INTELLIGENCE - Currently, systems for assessing traffic, such as retail traffic, only output counting results in numeric measures. Current systems do not assess problems and/or provide solutions to problems using traffic analysis methods or applications. The present disclosure is directed to methods, systems and media for applying retail traffic analysis statistics to provide actionable intelligence, such as solutions to particular inquiries or problems. | 2022-04-28 |
20220129822 | DETECTING EVENTS DURING A SURGERY - One example method for detecting events during a surgery includes receiving surgical video of a surgery comprising a plurality of video frames; identifying, by a first trained machine-learning (“ML”) model, an event during a surgical procedure based on the surgical video; determining, by the first trained ML model, a subset of the plurality of video frames, the subset of the plurality of video frames corresponding to the event; determining, by a second trained ML model, a characteristic of the event based on the subset of the plurality of video frames; and generating metadata corresponding to event based on the characteristic of the event. | 2022-04-28 |
20220129823 | System and Method for Identifying Top Performing Individuals Offering Services in a Given Profession - The present invention is directed to a system and method for identifying top performing individuals who offer specialized services within a given professional field based on evaluations of the skill, training, background, and professional assessment of qualifying individuals. In one embodiment of the invention, a solicitation board is formed to solicit nominees working within a given field relative to pre-determined criteria. The criteria comprise a non-exhaustive list of attributes by which a hypothetical professional is measured for purposes of determining a top performer. Criteria is used to form a first tier of candidates, who are assessed by the solicitation board to form a second tier of candidates. A review board will successively review information associated with candidates of the second tier, to create subsequent tiers of candidates who are considered as among a top tier of professionals within a locale. In an alternative embodiment, the method of the present invention will include a consideration of surveys from third parties who have first-hand knowledge of the implementation and use of a given candidate's education, training and skills in their chosen profession. The present invention provides a 360 degree evaluation of the professionals considered as forming the top tier of comparable professionals. | 2022-04-28 |
20220129824 | ELECTRONIC DEVICE FOR ALLOCATING COURIER AND OPERATING METHOD THEREOF - An operating method of an electronic apparatus including: identifying at least one fulfillment center based on a user input; identifying delivery plan information related to the at least one fulfillment center, a courier allocation condition corresponding to the at least one fulfillment center, and work information of each of a plurality of registered couriers; and allocating at least one among the plurality of couriers to the at least one fulfillment center based on the delivery plan information, the courier allocation condition, and the work information and an electronic apparatus are provided. | 2022-04-28 |
20220129825 | METHOD FOR ESTIMATING AMOUNT OF TASK OBJECTS REQUIRED TO REACH TARGET COMPLETED TASKS - In an embodiment, described herein is a system and method for creating a suggested task set to meet a target value. A cloud server, in response to receiving a request specifying a target value, retrieves completed task sets from a database. Each completed task set includes a same set of task categories. The cloud server derives a number of ratios from the retrieved completed task sets, including a composition ratio and a conversion rate for each task category, and an addition ratio for the number of completed task sets. Based on the derived ratios and the specified target value, the cloud server constructs the suggested task set, and displays in real-time the suggested task set together with current values for the task categories. The cloud server alerts users of a discrepancy between a current value and the corresponding suggested value for a task category when the discrepancy reaches a predetermined level. | 2022-04-28 |
20220129826 | IN-FLIGHT SERVICING OF AN AERIAL VEHICLE - Embodiments include methods, systems, and computer program products method for aerial vehicle in-flight servicing. The computer-implemented method includes monitoring, using a processor, an aerial vehicle status of a delivery aerial vehicle. The processor compares the aerial vehicle status of the aerial vehicle to a delivery schedule associated with the delivery aerial vehicle. The processor further assigns a service aerial vehicle to provide service in response to the aerial vehicle status conflicting with the delivery schedule associated with the delivery aerial vehicle. The method further couples the delivery aerial vehicle to the service aerial vehicle while the delivery aerial vehicle and service aerial vehicle are in-flight. The method further provides power source assistance or aerial vehicle component assistance to the delivery aerial vehicle by the service aerial vehicle while the delivery aerial vehicle and service aerial vehicle are in-flight. | 2022-04-28 |
20220129827 | TECHNIQUES FOR WORKFORCE MANAGEMENT IN A TASK ASSIGNMENT SYSTEM - Techniques for workforce management in a task assignment system are disclosed. In one particular embodiment, the techniques may be realized as a method for workforce management in a task assignment system comprising: determining, by at least one computer processor configured to operate in the task assignment system, a first efficiency level of a first task assignment strategy for a first number of agents to be employed in the task assignment system; determining, by the at least one computer processor, a second efficiency level of a second task assignment strategy for a second number of agents to be employed in the task assignment system; comparing, by the at least one computer processor, the first and second efficiency levels; and selecting, by the at least one computer processor, one of the first and second numbers of agents having the higher of the first and second efficiency levels. | 2022-04-28 |
20220129828 | SYSTEMS AND METHODS FOR NETWORK RESOURCE ALLOCATIONS - Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for network resource allocations. An example method may include receiving performance data associated with customer premise devices and nodes. The method may include determining a first amount of technician resources allocated to a first geographic area. The method may include determining a second amount of technician resources allocated to a second geographic area. The method may include determining a first score indicative of a first predicted demand for technician resources associated with the first geographic area, and a second score indicative of a second predicted demand for technician resources associated with the second geographic area. The method may include causing a third amount of technician resources to be allocated to the first geographic area and a fourth amount of technician resources to be allocated to the second geographic area. | 2022-04-28 |
20220129829 | TAMPER-RESISTANT ITEM TRANSPORT SYSTEMS AND METHODS - Delivery of items has long been subject to degradation through pilfery, improper handling, or exposure to excessive environmental conditions. By providing items for delivery, or a mobile locker or secure container with the item for delivery, with an identifier readable and reportable by networked devices, custody of the item can be determined along with any degradation event. As a result, the providing source for the item and the receiving customers may be assured that the item delivered is provided in acceptable condition. | 2022-04-28 |
20220129830 | SYSTEM, CONTROL METHOD, AND STORAGE MEDIUM - A system outputs an estimated price and an estimated delivery date in a case where an article is manufactured in a facility, based on order information about the article, an operation status of the facility used to manufacture the article, and a status of an employee to engage in the manufacturing of the article. | 2022-04-28 |
20220129831 | LOCATING, IDENTIFYING, AND SHIFTING OBJECTS IN AUTOMATED OR SEMI-AUTOMATED FASHION INCLUDING DURING TRANSIT - Detecting, locating, identifying, engaging, and/or shifting objects in automated or semi-automated fashion as well as methods, systems, apparatuses, and computer-program products therefor. Embodiments used for shifting objects in automated or semi-automated fashion may be implemented in stationary environments, and/or in moving, e.g., in-transit, environments, and may be used to transfer, route, and/or organize objects based on their designated destinations. The embodiments may further be implemented in a logistics network, thereby increasing the efficiency and capacity of the logistics network, among other benefits. | 2022-04-28 |
20220129832 | LOCATING, IDENTIFYING, AND SHIFTING OBJECTS IN AUTOMATED OR SEMI-AUTOMATED FASHION INCLUDING DURING TRANSIT - Detecting, locating, identifying, engaging, and/or shifting objects in automated or semi-automated fashion as well as methods, systems, apparatuses, and computer-program products therefor. Embodiments used for shifting objects in automated or semi-automated fashion may be implemented in stationary environments, and/or in moving, e.g., in-transit, environments, and may be used to transfer, route, and/or organize objects based on their designated destinations. The embodiments may further be implemented in a logistics network, thereby increasing the efficiency and capacity of the logistics network, among other benefits. | 2022-04-28 |
20220129833 | LOCATING, IDENTIFYING, AND SHIFTING OBJECTS IN AUTOMATED OR SEMI-AUTOMATED FASHION INCLUDING DURING TRANSIT - Detecting, locating, identifying, engaging, and/or shifting objects in automated or semi-automated fashion as well as methods, systems, apparatuses, and computer-program products therefor. Embodiments used for shifting objects in automated or semi-automated fashion may be implemented in stationary environments, and/or in moving, e.g., in-transit, environments, and may be used to transfer, route, and/or organize objects based on their designated destinations. The embodiments may further be implemented in a logistics network, thereby increasing the efficiency and capacity of the logistics network, among other benefits. | 2022-04-28 |
20220129834 | SYSTEMS AND METHODS FOR IMPROVING RECOMMENDATION SYSTEMS - Data about clients, items included in an item inventory, executable code for recommendation processes, and executable code for feature selection process(es), are stored. The recommendation processes are used to identify items in the item inventory that are recommended for specific clients, and the feature selection process(es) is/are used to select features that are displayed to entities tasked with selecting items from the item inventory for clients. Selection feedback and client feedback are received. One or more feature selection process(es) is/are modified based on the selection feedback and/or the client feedback, to thereby change which, where or/or how certain portion of the data about clients is displayed to the entities tasked with selecting items from the item inventory for the clients, and/or change which, where and/or how certain portion of the data about items is displayed to the entities tasked with selecting items from the item inventory for the clients. | 2022-04-28 |
20220129835 | METHODS AND SYSTEMS FOR INDUSTRIAL PROCESSES OF CANNABIS PRODUCTS - The present application relates to the production of cannabis products, particularly on a large scale, such as at an industrial level. Cannabis is typically a controlled and regulated substance, and so inventory control, security, and traceability of the cannabis may need to be provided. A human-based manual and/or labour-intensive implementation is not scalable, and is therefore infeasible at an industrial level. Disclosed herein are computer systems for inventory control, security systems, and computer methods for facilitating traceability from a cannabis product back to a batch of cannabis plants. | 2022-04-28 |
20220129836 | VISION PRODUCT INFERENCE BASED ON PACKAGE DETECT AND BRAND CLASSIFICATION WITH ACTIVE LEARNING - A delivery system generates a pick sheet containing a plurality of SKUs based upon an order. A loaded pallet is imaged to identify the SKUs on the loaded pallet, which are compared to the order prior to the loaded pallet leaving the distribution center. The loaded pallet may be imaged while being wrapped with stretch wrap. At the point of delivery, the loaded pallet may be imaged again and analyzed to compare with the pick sheet. | 2022-04-28 |
20220129837 | DATA PROCESSING SYSTEMS FOR GENERATING AND POPULATING A DATA INVENTORY - In particular embodiments, a data processing data inventory generation system is configured to: (1) generate a data model (e.g., a data inventory) for one or more data assets utilized by a particular organization; (2) generate a respective data inventory for each of the one or more data assets; and (3) map one or more relationships between one or more aspects of the data inventory, the one or more data assets, etc. within the data model. In particular embodiments, a data asset (e.g., data system, software application, etc.) may include, for example, any entity that collects, processes, contains, and/or transfers personal data (e.g., such as a software application, “internet of things” computerized device, database, website, data-center, server, etc.). For example, a first data asset may include any software or device (e.g., server or servers) utilized by a particular entity for such data collection, processing, transfer, storage, etc. | 2022-04-28 |
20220129838 | DYNAMIC TERMINATION ZONE DETECTION SYSTEM - Examples provide a tag manager component that identifies a plurality of stationary RFID tags located within a three-dimensional space outside an item display area based on an analysis of RFID tag data associated with the plurality of RFID tag readers. A zone detection component analyzes item data associated with a plurality of items corresponding to the plurality of stationary RFID tags and location data associated with the three-dimensional space using a set of per-item criteria. The set of per-item criteria includes a per-item minimum threshold number of items per unit of three-dimensional space and/or a minimum threshold stationary time-period. A verification component analyzes sensor data and/or transaction data to verify whether the three-dimensional space is a termination zone. If the three-dimensional space is a termination zone, an inventory manager component removes the plurality of items from perpetual inventory. | 2022-04-28 |
20220129839 | SYSTEM AND METHOD TO ATTRIBUTE EXPIRATION DATES AND QUANTITIES OF A PRODUCT TO A SKU CODE FOR PRICING PURPOSES - A system and method to attribute expiration dates and quantities of a product to an SKU code for pricing purposes. This method applies dynamic pricing to perishable food items. Using bulk tagging capabilities, the supermarket can attribute expiration dates to items without the pain of actually tagging the items with stickers. | 2022-04-28 |
20220129840 | System And Method For Reinforcement-Learning Based On-Loading Optimization - A method and system are provided where a module employing reinforcement learning (RL) can learn to solve the vehicle selection and space allocation problems for the transportation and/or storage of goods. In one embodiment, a method includes: (a) obtaining a specification of a load that includes enclosures of one or more enclosure types, and the specification includes, for each enclosure type: (i) dimensions of an enclosure of the enclosure type, and (ii) a number of enclosures of the enclosure type. The method also includes (b) obtaining a specification of vehicles of one or more vehicle types, where the specification includes, for each vehicle type: (i) dimensions of space available within a vehicle of the vehicle type, and (ii) a number of vehicles of the vehicle type that are available for transportation. The method further includes (c) providing a simulation environment for simulating loading of a vehicle. In addition, the method includes (d) selecting by an agent module a vehicle of a particular type, where: the selected vehicle has space available to accommodate at least a portion of the load; and the selection is based on a state of the environment, an observation of the environment, and a reward received previously from the environment; (e) receiving by the agent module a current reward from the environment in response to selecting the vehicle; and (f) repeating by the agent module steps (d) and (e) until the load is accommodated within space available in the one or more selected vehicles. | 2022-04-28 |
20220129841 | SYSTEM AND METHOD FOR PACKAGE DETECTION AND SECURE DELIVERY - The disclosure relates to systems and methods for enabling secure delivery and monitoring a delivered package. The systems and methods include a package detection system operable to convey delivery instructions to a delivery person and to communicate with the delivery person. The package detection system is further operable to communicate information about the package delivery to the intended recipient and to facilitate monitoring of the delivered package until the recipient collects the package. | 2022-04-28 |
20220129842 | SYSTEM AND METHODS FOR NETWORK-IMPLEMENTED CANNABIS DELIVERY AND DRIVER RELEASE OF FUNDS - A system and methods for network-enabled cannabis product delivery and driver release of funds, comprising at least a plurality of network-enabled portals for data entry, legality and identification checks, and more, allowing a user to order delivery of cannabis products from local retailers using third-party drivers that register with the system, for compensation, and allowing for feedback and automated communication between a retailer, driver, and customer using the system, with a driver being able to release funds to a retail outlet after pickup of the order. | 2022-04-28 |
20220129843 | CARRIER UTILIZATION TRACKING - An arrangement for detecting a load carried by a carrier intended to be tracked by a real-time locating system comprises: a tag intended to be arranged on the carrier, the tag being configured to generate a wireless signal allowing determination of a position of the tag; and at least one detector configured to detect the load carried by the carrier and to generate a wireless signal indicative of at least one of whether or not a load is carried by the carrier and an amount of load carried by the carrier. The arrangement allows for accurate carrier utilization tracking in a cost-effective manner. A real-time locating system comprising such an arrangement and a method for detecting a load carried by a carrier are also disclosed. | 2022-04-28 |
20220129844 | SUPPLY CHAIN VISIBILITY PLATFORM - Systems, methods, and non-transitory media are provided for dynamically predicting visibility of freights in a constrained environment. An example method can include determining attributes associated with a load transported by a carrier from a source to a destination, the attributes including an identity of the carrier, an identity of an industry associated with the load, an identity of a shipper of the load, load characteristics, and/or a pickup time of the load; based on the attributes, predicting a route the carrier will follow when transporting the load to the destination, at least a portion of the route being predicted without data indicating an actual presence of the carrier within the portion of the route, the data including location measurements from a device associated with the carrier and/or a location update from the carrier; and generating a tracking interface identifying the route the carrier is predicted to follow. | 2022-04-28 |
20220129845 | APPARATUS FOR PERFORMING SMART LOGISTICS MONITORING AND CONTROL METHOD THEREOF - Disclosed is a an apparatus for performing smart logistics monitoring including a display unit, a memory, a sensor unit sensing at least one of a temperature, acceleration, humidity, illuminance, inclination, impact, and location of an inside of a logistics vehicle, and a control unit that generates respective status information of a logistics according to a sensed result at a predetermined period, generates a respective QR code indicating the respective status information, and displays the respective QR code on a screen of the display unit. The respective QR code is converted and displayed on the screen depending on an order in which the respective QR code is generated. | 2022-04-28 |
20220129846 | Physical Condition Verification System and Method - A system provides for the linking of searchable information to images, whether they be photographs, virtual reality images, video or other images, with searchable information in data fields whereby upon capturing one or more images, those images can be remotely stored in a database with searchable information. These images can now be located based on key-word searches of the database. For logistics companies, loads can be searched and images at acceptance and delivery points can be viewed to determine where damage may have occurred between a manufacturer and a retailer so that the manufacturer may not necessarily bear the burden of a chargeback when damage occurred after the goods left the manufacturer's facility by sending access to those images to third parties and advising of the status of those goods at a particular location. | 2022-04-28 |
20220129847 | PRIVACY-PRESERVING SUPPLY CHAIN VERIFICATION FOR MULTIPLE ASSET TYPES IN SHARED DATA STORAGE SCENARIOS - Methods, systems, and computer-readable storage media for receiving an index and a random number from a verifier, receiving, from a shared data storage, encrypted supply chain data (SCD) of a supply chain actor (SCA), re-encrypting the encrypted SCD to provide re-encrypted SCD using a public encryption key of a decryption party, executing homomorphic operations on the re-encrypted SCD to provide an encrypted blinded result using second random numbers, receiving an encrypted modified blinded result, generating an encrypted blinded verification result using a verification function, the encrypted blinded result, the encrypted modified blinded result, and the random number, and sending the encrypted blinded verification result for decryption to provide a blinded verification result to the verifier, the verifier determining a verification result based on the blinded verification result and the random number, and comparing the verification result to a product claim. | 2022-04-28 |
20220129848 | SYSTEMS AND COMPUTERIZED METHODS FOR OPTIMIZING ITEM RETRIEVAL ALLOCATION EFFICIENCIES - The present disclosure provides a computerized method for assigning items to pickers including: determining a priority of an ordered item; inserting the item into an ordered data structure based on the priority of the item; iteratively, for items in the ordered data structure: determining an item physical location corresponding to a first unassigned item in the ordered data structure; determining a plurality of picker physical locations corresponding to locations of user devices of pickers; calculating a plurality of distances between the item physical location and picker physical locations among the plurality of picker physical locations; assigning the first unassigned item by: identifying a closest picker corresponding to a shortest distance of the plurality of distances; selecting the identified picker; correlating the first unassigned item with the selected picker in a data structure; and sending information of the item and physical location to the user device of the picker. | 2022-04-28 |
20220129849 | EN-ROUTE BUSINESS SELECTION, ROUTING AND ORDER PREPARATION TIMING SYSTEM - A system and method for en-route business selection, routing, and order preparation timing. The system is a cloud-based network containing an optimization server, portals for restaurants, customers, and drivers to enter their information, and an optimization engine which determines optimal pickup and delivery times for delivery drivers based on a multitude of variables associated with the business enterprises and delivery driver availability. The system may be accessed through web browsers or purpose-built computer and mobile phone applications | 2022-04-28 |
20220129850 | LINKAGE OF RELATIONSHIP AND TRANSACTION DATA - A system and method for providing an individual with information on the actual healthcare utilization of other members of that individual's social network, the method including de-identifying or encrypting individually identifiable social network data associated with a first user, de-identifying or encrypting individually identifiable healthcare transaction data associated with the first user, and linking the de-identified social network data and the de-identified healthcare transaction data. | 2022-04-28 |
20220129851 | SYSTEM AND METHOD FOR MAKING STRATEGIES AND GENERATING CUSTOMIZED REPORTS BASED ON USERS IN REAL-TIME - Exemplary embodiments of the present disclosure are directed towards a system and method for making strategies and generating customized reports based on users in real-time, comprising: computing device comprising strategy making and customized report generating module configured to deploy agents in interaction layer where users interact with customized reports. Strategy making and customized report generating module configured to capture variety of information related to users and knowledge base database configured to store information required to generate customized reports in different ways for users on computing device. The knowledge base database resides strategy processor configured to decide strategies. The strategy processor configured to decide structural properties for insights and send structural properties to knowledge base database. The strategy processor configured to share customized reports with the users on the computing device and the agents deployed on interaction layer records how users interact with customized reports and start learning from customized reports. | 2022-04-28 |
20220129852 | CROSS-ENTITY PROCESS COLLABORATION SERVICE VIA SECURE, DISTRIBUTED LEDGER - Embodiments may be associated with a secure, distributed transaction ledger. The system may include a collaboration scenario template data store that contains electronic records providing entity identifiers and a set of task templates. A computer processor of a cross-entity process collaboration platform, coupled to the collaboration scenario template data store, may access information in the collaboration scenario template data store. The cross-entity process collaboration platform may then automatically create a collaboration scenario based on the entity identifiers and the set of task templates. The collaboration scenario may then be deployed by the cross-entity process collaboration platform to the secure, distributed transaction ledger. | 2022-04-28 |
20220129853 | MULTI-PLATFORM DATA AGGREGATION AND AUTOMATION SYSTEM - A data engine may establish and maintain dynamic item subsets of items received from the item-tracking platforms. Users may define and customize the dynamic item subsets using a client application. The data engine may determine aggregated data about the dynamic item subsets for presentation in a graphical user interface of a client application executing on or otherwise accessible by the client devices. | 2022-04-28 |
20220129854 | STANDARDIZED SKILL CREATION AND PUBLISHING - Transmitting digital definitions of skills at a computing system to allow the digital definitions skills to be interoperable with other computing systems. The method includes identifying a skill name for a skill. The method further includes contextualizing the skill name for a specific system or use case by creating and storing metadata associated with the skill name. The method further includes publishing the contextualized skill at a predetermined network location, in a standardized digital format allowing for interoperability with other computing systems, wherein publishing comprises providing an active network link to the contextualized skill. | 2022-04-28 |
20220129855 | Correlating Jobs with Personalized Learning Activities in Online Education Platforms - Employers or recruiters populate an online database with job postings. The concepts that job applicants need to have learned to be successful applicants for a job are stated or inferred from the job posting and optionally resumes of others who have held that job. A student's own learning activities are logged by an online education platform. From a comparison between the student's completed learning units and a job posting's required learning units, a personalized learning unit gap can be identified for a student. The online education platform can then recommend how the student can fill the gap by undertaking the study of learning units on the education platform. | 2022-04-28 |
20220129856 | METHOD AND APPARATUS OF MATCHING DATA, DEVICE AND COMPUTER READABLE STORAGE MEDIUM - The present disclosure provides a method and an apparatus of matching data, a device and a computer-readable storage medium, which are related to the field of artificial intelligence technology, and in particularly to the field of intelligent search and deep learning. The specific implementation solution includes: obtaining a first instance of a resume and a second instance of a job profile; determining, for a meta path, a resume feature data of the first instance and a profile feature data of the second instance, the meta path is a knowledge graph path from the resume to the job profile; and applying a classification model to the resume feature data of the first instance and the profile feature data of the second instance to determine a matching result between the first instance and the second instance. | 2022-04-28 |
20220129857 | SYSTEMS AND METHODS FOR ANALYZING WORKER CONFORMANCE AND EFFICIENCY - A system and method may determine performance data for workers by for example generating or receiving, for a set (e.g. one or more) of workers, computer data describing total scheduled work time for the set of workers for a period or range of time; and obtaining or receiving for the set of workers computer data describing total out of conformance time for the set of workers for the period or range of time. The total scheduled work time for the set of workers for the period of time may have subtracting from it the total out of conformance time for the set of workers for the period of time, to create an intermediate sum. This intermediate sum may be divided by the total scheduled work time for set of workers for the period of time to calculate the non-productive conformance percentage for the set of workers. | 2022-04-28 |
20220129858 | REDUCED SIZE USER INTERFACE - Techniques for a displaying user interfaces screens of a calendar application include displaying different screens based on an input modality. The calendar application may respond differently to inputs from a touch-sensitive screen, inputs from a rotatable input mechanism, inputs having higher intensities, inputs having lower intensities, and so forth. | 2022-04-28 |
20220129859 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - A controller in an information processing device is configured to acquire first information about a plurality of users respectively present at a plurality of locations within a predetermined region, the first information including information related to a current behavior of each of the users at each of the locations or a behavior predicted to be taken by each of the users at each of the locations within a predetermined period. Further, the controller is configured to decide order of visiting when a visitor who visits the users visits the users based on the first information. | 2022-04-28 |
20220129860 | Artificial Intelligence Based Determination Of Damage To Physical Structures Via Video - A method and system are provided for assessing damage to a structure. According to one embodiment, the method includes detecting one or more external parts of the structure from a video of the structure using a first machine learning (ML) module trained to identify in one or more frames of a video of a structure an external part of the structure. The method also includes using a second ML module, trained to detect and classify damaged regions of a structure from one or more frames of the video: (i) identifying one or more damaged regions of the structure, and (ii) classifying the one or more damaged regions based on damage types. The method further includes associating the one or more damaged regions and corresponding damage types with the one or more external parts, providing a respective vision-based damage estimate for each of the one or more external parts. | 2022-04-28 |
20220129861 | DYNAMIC MAINTENANCE SCHEDULING FOR VEHICLES - A method for dynamic maintenance scheduling includes receiving, by a server, first maintenance data, first vehicle data, first booking data, and a plurality of maintenance plans associated with a plurality of vehicles. The plurality of maintenance plans is indicative of historical scheduled maintenance sessions of a corresponding vehicle of the plurality of vehicles. The method includes determination of a plurality of features and a corresponding plurality of feature values for each of the plurality of vehicles. The method includes training a prediction model based on the plurality of features and the corresponding feature values. The method includes determination of a maintenance criterion for a target vehicle based on the trained prediction model and a target dataset associated with the target vehicle. The maintenance criterion indicates an odometer reading range of the target vehicle during which a scheduled maintenance of the target vehicle is to be performed. | 2022-04-28 |
20220129862 | DISPLAY CONTROL DEVICE, DISPLAY CONTROL METHOD, AND RECORDING MEDIUM - A display control device according to the present invention includes: a memory; and at least one processor coupled to the memory. The processor performs operations. The operations include: determining a start of handling of a target facility; and changing display on an advertisement display device from an advertisement to a handling description of the target facility when determining the start of the handling. | 2022-04-28 |
20220129863 | PROCESSING SYSTEM, PROCESSING METHOD, MAINTENANCE WORKER ASSIST DEVICE AND MAINTENANCE WORKER ASSIST PROGRAM - Visibility of a message transmitted from a maintenance object system is improved. A maintenance person support device | 2022-04-28 |
20220129864 | SYSTEMS AND METHODS FOR PROCESSING TRAILER REPAIR REQUESTS SUBMITTED BY CARRIERS - In some embodiments, methods and systems are provided for facilitating submission of repair requests by carriers having to repair trailers to domicile facilities associated with the trailers. A central computing device provides a first graphical interface accessible by a computing device of a carrier having to repair a trailer in order to permit the carrier to submit a repair request indicating repair needed for the trailer. The central computing device then generates an invoice for the repair to the trailer directed to a domicile facility associated with the trailer. The central computing device also transmits an alert including the invoice to a computing device of the domicile facility associated with the trailer, receives a response from the computing device of the domicile facility associated with the trailer, and transmits a notification indicating whether the repair request has been approved by the domicile facility associated with the trailer. | 2022-04-28 |
20220129865 | METHOD FOR MONITORING AN ELECTRICAL DEVICE - A method for monitoring an electrical device connected to an electrical transmission network includes providing measured operating state data of a first electrical device, providing measured operating state data of further electrical devices of the same type as the first electrical device being connected to the transmission network, comparing the operating state data or at least one variable derived therefrom with at least one predetermined data pattern, the operating state data of the first and all further electrical devices being included in the comparison, and providing information about control measures and/or maintenance measures that are to be carried out and are assigned to the data pattern, if the result of the comparison is a match with the data pattern. A data processing device for performing the method is also provided. | 2022-04-28 |
20220129866 | METHOD AND SYSTEM FOR A SECURE REGISTRATION - Methods and apparatus for secure registration to enable transactions between a first user and a vendor that is facilitated by a payment server are disclosed. The method may comprise storing a form soliciting customer information including a plurality of fields, wherein at least one of the plurality of fields is associated with an attribute. The method including receiving a copy of the form including customer data in all of the plurality of fields and transmitting a first subset of the customer data based on the attribute associated with the first subset of the customer data. The method including receiving a token in response to the transmission of the first subset of customer data and transmitting the token and a second subset of the customer data, wherein the second subset is based on the attribute associated with the second subset of customer data. | 2022-04-28 |
20220129867 | Systems and Methods for Cryptocurrency Asset Bundles - Systems and methods for managing bundles of cryptocurrency assets. | 2022-04-28 |