06th week of 2022 patent applcation highlights part 49 |
Patent application number | Title | Published |
20220044116 | Computer-Implemented Method of Training a Computer-Implemented Deep Neural Network and Such a Network - A computer-implemented method of training a computer-implemented deep neural network with a dataset with annotated labels, wherein at least two models are concurrently trained collaboratively, and wherein each model is trained with a supervised learning loss, and a mimicry loss in addition to the supervised learning loss, wherein the super-vised learning loss relates to learning from environmental cues and supervision from the mimicry loss relates to imitation in cultural learning. | 2022-02-10 |
20220044117 | FEDERATED LEARNING FOR ANOMALY DETECTION - Methods and systems for training a neural network include collecting model exemplar information from edge devices, each model exemplar having been trained using information local to the respective edge devices. The collected model exemplar information is aggregated together using federated averaging. Global model exemplars are trained using federated constrained clustering. The trained global exemplars are transmitted to respective edge devices. | 2022-02-10 |
20220044118 | Method and Device for Operating a Machine Learning Model - The invention relates to a method for operating a machine learning model, comprising the following steps during a training phase: receiving selected multidimensional training data; selecting subsets from the received training data; generating a training data set, wherein the training data set includes data set elements which are generated on the basis of the selected subsets; training the machine learning model using the training data set; and/or comprising the following steps during an inference phase: receiving sensor data of at least one sensor; selecting subsets from the received sensor data; generating a data stack, wherein the data stack includes the respective selected subsets as stack elements; applying the, or a, machine learning model trained according to the steps of the training phase to every stack element of the data stack, wherein the application occurs simultaneously, and deducing an inference result; and outputting the inference result. | 2022-02-10 |
20220044119 | A DEEP LEARNING MODEL FOR LEARNING PROGRAM EMBEDDINGS - A system and method for using a deep learning model to learn program semantics is disclosed. The method includes receiving a plurality of execution traces of a program, each execution trace comprising a plurality of variable values. The plurality of variable values are encoded by a first recurrent neural network to generate a plurality of program states for each execution trace. A bi-directional recurrent neural network can then determine a reduced set of program states for each execution trace from the plurality of program states. The reduced set of program states are then encoded by a second recurrent neural network to generate a plurality of executions for the program. The method then includes pooling the plurality of executions to generate a program embedding and predicting semantics of the program using the program embedding. | 2022-02-10 |
20220044120 | SYNTHESIZING A SINGULAR ENSEMBLE MACHINE LEARNING MODEL FROM AN ENSEMBLE OF MODELS - The present disclosure relates to systems and methods for generating and using a singular ensemble model. | 2022-02-10 |
20220044121 | TRAINING DEVICE, INFERRING DEVICE, TRAINING METHOD, INFERRING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM - A training device comprises one or more memories and one or more processors. The one or more processors are configured to train a first converter that converts a first feature amount regarding a node of a graph and a second feature amount regarding a structure of the graph into a first latent value through conversion capable of defining inverse conversion, and a second converter that converts the second feature amount into a second latent value through conversion capable of defining inverse conversion, based on the first latent value and the second latent value. | 2022-02-10 |
20220044122 | MEMORY-EFFICIENT NEURAL NETWORK TRAINING - Various embodiments provide apparatuses, systems, and methods related to a first worker of a distributed neural network (NN), The first worker may execute a forward training pass of a first node of a distributed NN, wherein execution of the forward training pass includes generation of a first computational graph (CG) that is based on inputs related to a second node that is processed by a second worker of the distributed NN. The first worker may also delete, subsequent to the forward training pass of the first node, the CG. The first worker may also execute, a backward pass of the first node, wherein execution of the backward pass includes re-generation of at least a portion of the first CG. Other embodiments may be described and claimed. | 2022-02-10 |
20220044123 | Embedded Programmable Logic Device for Acceleration in Deep Learning-Focused Processors - Processors may be enhanced by embedding programmable logic devices, such as field-programmable gate arrays. For instance, an application-specific integrated circuit device may include main fixed function circuitry operable to perform a main fixed function of the application-specific integrated circuit device. The application-specific integrated circuit also includes a support processor that performs operations outside of the main fixed function of the application-specific integrated circuit device, wherein the support processor comprises an embedded programmable fabric to provide programmable flexibility to application-specific integrated circuit device. | 2022-02-10 |
20220044124 | Convolutional Self-encoding Fault Monitoring Method Based on Batch Imaging - The invention discloses a convolution self-encoding fault monitoring method based on batch imaging, and belongs to the technical field of batch process fault monitoring. The method comprises two steps of off-line modeling and on-line monitoring. The offline modeling step comprises the following steps: firstly, normalizing three-dimensional data of intermittent process; then, taking the two-dimensional array of each batch as an image to be directly input into a convolutional auto-encoder (CAE) to carry out deep unsupervised feature learning; and finally, constructing statistics and corresponding control limits for the features learned by CAE by utilizing a support vector machine. The online monitoring step includes: normalizing the collected data, and carrying out batch filling; inputting the normalized and filled batch graph into trained CAE to learn features; and calculating an online statistic, comparing online statistic with an offline control limit. Compared with the prior art, the technical scheme provided by the invention avoids information loss caused by data expansion, does not need to divide stages to reduce modeling workload, deeply extracts change characteristics of process variables, and reduces false alarm and missing report rate of intermittent process monitoring. | 2022-02-10 |
20220044125 | TRAINING IN NEURAL NETWORKS - A system, obtaining a first training dataset, comprising a plurality of first image and pose data pairs; obtaining a first generated dataset, comprising a plurality of first image and estimated pose data pairs, wherein estimated pose data of the first image and estimated pose data pairs are generated by a first neural network trained using the first training dataset; obtaining a second generated dataset, comprising a plurality of second image and estimated pose data pairs, wherein estimated pose data of the second image and estimated pose data pairs are generated by a second neural network trained using the first training dataset; generating the first and second generated datasets a generated training dataset, comprising image and estimated pose data pairs selected from said first generated dataset; and training a third neural network based on a combination of some or all of the first training dataset and the generated training dataset. | 2022-02-10 |
20220044126 | SYSTEM AND/OR METHOD FOR GENERATING CLEAN RECORDS FROM IMPERFECT DATA USING MODEL STACK(S) INCLUDING CLASSIFICATION MODEL(S) AND CONFIDENCE MODEL(S) - Techniques relating to managing “bad” or “imperfect” data being imported into a database system are described herein. A lifecycle technology solution helps receive data from a variety of different data sources of a variety of known and/or unknown formats, standardize it, fit it to a known taxonomy through model-assisted classification, store it to a database in a manner that is consistent with the taxonomy, and allow it to be queried for a variety of different usages. Auto-classification, enrichment, clustering model and model stacks, and/or other disclosed techniques, may be used in these and/or other regards. | 2022-02-10 |
20220044127 | METHOD AND ENVIRONMENT CONTROLLER FOR VALIDATING A PREDICTIVE MODEL OF A NEURAL NETWORK THROUGH INTERACTIONS WITH THE ENVIRONMENT CONTROLLER - Method and environment controller for validating a predictive model of a neural network. The environment controller receives at least one environmental characteristic value and determines a plurality of input variables. At least one of the plurality of input variables is based on one among the environmental characteristic value(s). The environment controller executes an environment control software module for calculating at least one output variable based on the plurality of input variables. The environment controller transmits the plurality of input variables to a training server executing a neural network training engine using the predictive model; and receives at least one inferred output variable from the training server. Each inferred output variable corresponds to one of the at least one output variable calculated by the environment control software module. The environment controller compares each inferred output variable with the corresponding calculated output variable; and sends a feedback to the training server. | 2022-02-10 |
20220044128 | SYSTEM AND METHOD FOR MODELING COMPLEX LAYERED SYSTEMS - Method and system for modeling of complex systems using a two-sorted reasoning system. Information is received by Distributed Feature Extraction Processors. A first level of reasoning is performed on the information by Distributed Regular Reasoning Processors. A second reasoning process is performed on the information by Distributed Situation Reasoning Processors, which use a Functional Fabric configured to analyze the information received and use functions to modify previous inferences. Client applications allow for viewing and manipulating both reasoning systems and their associated information. | 2022-02-10 |
20220044129 | ALERT MANAGEMENT IN DATA PROCESSING SYSTEMS - Several aspects are provided for dynamically updating an alert-management system that uses a master ruleset to match alerts in a data processing system with automata for handling the alerts. A method comprises training a machine learning model to correlate the alerts with the automata using a training dataset comprising alerts which were successfully handled by the automata. The machine learning model is then applied to correlate unmatched alerts with the automata, wherein the unmatched alerts were not matched to the automata by the master ruleset. The method further comprises analyzing operation of the machine learning model in relation to correlation of the unmatched alerts to define a new ruleset for matching the unmatched alerts with the automata and outputting the new ruleset for auditing of each rule in the new ruleset. In response to approval of an audited rule, the audited rule is added to the master ruleset. | 2022-02-10 |
20220044130 | HYPER PARAMETER TUNING FOR MACHINE LEARNING MODELS - Techniques for selecting universal hyper parameters for use in a set of machine learning models across multiple computing environments include detection of a triggering condition for tuning a set of universal hyper parameters. The set of universal hyper parameters dictate configuration of the set of machine learning models that are independently executing, respectively, in the multiple computing environments. Based on the detected triggering condition, a first subset of universal hyper parameters from the set of universal hyper parameters are altered to generate a second set of universal hyper parameters. The second set of universal hyper parameters are applied to the set of machine learning models across the multiple computing environments. | 2022-02-10 |
20220044131 | ADVANCED WORKFLOW BASED SELF-SERVE AUTOMATION SYSTEM - The present technology addresses a need in the art for an automated tool that allows users to create network-based custom workflows for networks and associated management applications. The users do not need to have in-depth network knowledge to work with the tool or even write any code/script. The tool provides the users with a flexible graphical user interface for automated troubleshooting, network provisioning, and closed-loop automation. Further, the tool uses a domain-independent semantic machine reasoning engine as an underlying engine and a mock data engine to test and validate network-based workflows created by the users. | 2022-02-10 |
20220044132 | DISPLAYING CONTEXTUAL INFORMATION OF MEDIA - The exemplary embodiments disclose a method, a computer program product, and a computer system for determining the context of media. The exemplary embodiments may include a user consuming media, collecting data of the media, extracting one or more features from the collected data, and determining a media context based on the extracted one or more features and one or more models. | 2022-02-10 |
20220044133 | DETECTION OF ANOMALOUS DATA USING MACHINE LEARNING - Techniques and solutions are described for analyzing data collections to determine if they may be anomalous as compared with other data collections. For example, one or more values for data elements of a data collection may be unusually high or low, or may represent infrequently occurring values. Or, values of data elements in a data collection may not be anomalous when considered individually, but may be anomalous in combination. A machine learning model is trained with training data collections, where the training data collections include a plurality of data elements. An inference data collection, also having the data elements of the training data collections, is analyzed using the trained machine learning model to provide an anomaly score. The anomaly score can be based at least in part on feature anomaly scores, which indicate anomality of individual data elements of the inference data collection. | 2022-02-10 |
20220044134 | INTELLIGENT QUESTION ANSWERING ON TABULAR CONTENT - An intelligent table-based question answering system receives an input user query requesting information from an input table to generate a response to the input query. Two types of user queries including textual user queries and scalar user queries that require at least one mathematical operation to be executed can be processed for answer generation. The input table is processed to generate a paragraph of table text which includes row and column information extracted from the input table. The input query is provided along with the paragraph of table text to a deep Quans model which outputs a candidate answer that forms a textual portion of the response. Also, the candidate answer is reverse mapped to the input table and a portion of the input table including the candidate answer is provided as a tabular portion of the response. | 2022-02-10 |
20220044135 | COMPLEMENTARY EVIDENCE IDENTIFICATION IN NATURAL LANGUAGE INFERENCE - Methods and apparatus for complementary evidence identification in natural language inference. A given question is obtained and a set of N passages is obtained from a database. A probability is determined, for each passage of the set of N passages, of a corresponding passage being a supportive passage for the given question and the set of N passages is ranked based on the determined probabilities. M passages that are ranked 1 to M of the set of N passages are selected. A set of L passages is selected based on a plurality of scores, each score assigned to a set of candidate passages of the set of N passages, each score being based on the determined probabilities, the selected M passages, and a weighted regulation parameter. The set of L passages is provided to a computerized machine learning system to answer the question based on the set of L passages. | 2022-02-10 |
20220044136 | AUTOMATED DATA TABLE DISCOVERY FOR AUTOMATED MACHINE LEARNING - Embodiments relate to a system, program product, and method for leveraging cognitive systems to facilitate the automated data table discovery for automated machine learning, and, more specifically, to leveraging a trained cognitive system to automatically search for additional data in an external data source that may be merged with an initial user-selected data table to generate a more robust machine learning model. Manual efforts to find and validate data appropriate for building and training a particular model for a particular task are significantly reduced. Specifically, a learning-based approach to leverage with machine learning models to automatically discover related datasets and join the datasets for a given initial dataset is disclosed herein. Operations that include dataset selection facilitate continued reinforcement learning of the systems. | 2022-02-10 |
20220044137 | METHOD AND APPARATUS FOR OBJECT PREFERENCE PREDICTION, AND COMPUTER READABLE MEDIUM - The present disclosure relates to a method and an apparatus for object preference prediction, and a computer readable medium. The method includes: acquiring evaluation information indicating preference values of partial users in a user set for partial objects in an object set; acquiring auxiliary information of at least one of the user set and the object set, wherein the auxiliary information indicates an attribute of at least one of a corresponding user in the user set and a corresponding object in the object set; determining a user feature representation and an object feature representation using a matrix decomposition model, based on the evaluation information and the auxiliary information; and determining a preference prediction value of a target user in the user set for a target object in the object set based on the user feature representation and the object feature representation. | 2022-02-10 |
20220044138 | GAME SERVICE EXECUTION METHOD AND APPARATUS BASED ON ARTIFICIAL INTELLIGENCE, DEVICE, AND MEDIUM - This application discloses a game service execution method performed at a computer device for a game service. The method includes: constructing, in an i | 2022-02-10 |
20220044139 | SEARCH SYSTEM AND CORRESPONDING METHOD - There is provided a search system comprising a statistical model trained on text associated with a piece of content. The text associated with the piece of content is drawn from a plurality of different data sources. The system is configured to receive text input and generate using the statistical model an estimate of the likelihood that the piece of content is relevant given the text input. A corresponding method is also provided. | 2022-02-10 |
20220044140 | EVENT CONDITION DETECTION - Disclosed is a system which assists rescuers in efforts to locate persons in the event of potentially harmful condition in a structure. An example system includes a sensory node which gathers sensor data including occupancy data. The system uses the sensory node to gather and process condition data to establish normal behavioral characteristics of the data. Threshold levels are determined from this processing. An alert is transmitted when conditions are detected that fall outside those threshold levels. The alert includes information regarding the detected conditions, occupancy information, and structure data. An example system includes a portable device that receives the alert along with the information provided with the alert and uses that information to alert a user and provide a display that provides alert and occupancy data such that occupants of the structure can be located and provided with assistance if required. | 2022-02-10 |
20220044141 | QUANTUM INFORMATION PROCESSING METHOD FOR COMPUTING TRANSITION AMPLITUDE, CLASSICAL COMPUTER, QUANTUM COMPUTER, AND HYBRID SYSTEM - A quantum computer executes quantum measurement of <ψ | 2022-02-10 |
20220044142 | QUANTUM COMPUTING UNIT WITH MAJORANA MODES - The present invention relates to a quantum computing unit comprising a superconducting substrate or other superconducting component, at least three outer Majorana modes, and at least one inner Majorana mode, wherein the at least three outer Majorana modes are located along an outer perimeter, and wherein the at least one inner Majorana mode is located within the outer perimeter. This spatial configuration of the four participating Majorana modes allows to control the time-dependent coupling between the respective Majorana modes. The related quantum gates can be performed perfectly in a finite time, preferably with a frequency of up to several GHz. These include the braiding gate, the π/8 magic phase gate, the π/12 phase gate, and, for multi-qubit systems, the CNOT gate. The robustness of the mechanism guarantees that for special times the quantum gate is conducted the quantum gate is perfectly realized. This property is independent of material specific parameters. Hence, the behavior can be expected in all systems where Majorana zero modes appear in the center of Abrikosov vortices, in particular, not only in FeTeSe, which we consider as an example. | 2022-02-10 |
20220044143 | Simulation Method in Quantum Control, Classical Computer, and Storage Medium - A simulation method in quantum control is provided, which is related to a field of quantum control. The specific implementation scheme includes: acquiring a hardware parameter corresponding to a quantum system and a target quantum gate required to be realized by the quantum system; acquiring a pulse function represented on the basis of discrete time slices; determining target step sizes corresponding to the discrete time slices in the pulse function, to obtain pulse parameter values within time durations corresponding to the target step sizes corresponding to the time slices and the pulse function; and obtaining simulation quantum gates within the time durations corresponding to the target step sizes on the basis of obtained pulse parameter values within the time durations corresponding to the target step sizes and the hardware parameter of the quantum system, until obtaining a target simulation quantum gate within a preset pulse time duration. | 2022-02-10 |
20220044144 | REAL TIME MODEL CASCADES AND DERIVED FEATURE HIERARCHY - Certain aspects of the present disclosure provide techniques for a feature management platform to asynchronously implement an ensemble of machine learning models (or AI/ML models). The feature management platform can transmit feature data presently available on the feature queue (e.g., published on the feature queue or retrieved from a persistent data layer). The feature management platform can transmit the feature data to a first group of the machine learning models, capable of inputting the presently available feature data to generate predictions. The predictions can be transmitted back to the feature queue to consume—as well as store in the persistent data layer. The predictions, as well as any newly generated feature data, can be provided to the remaining machine learning models in the ensemble. The prediction of the ensemble can then provided to a consumer (e.g., an organization). | 2022-02-10 |
20220044145 | MACHINE LEARNING ACCELERATOR WITH DECISION TREE INTERCONNECTS - Techniques for performing improved machine learning using decision trees are disclosed. In one example, a system includes a plurality of decision tree structures, and configuration logic operatively coupled to the plurality of decision tree structures. The configuration logic selectively configures the plurality of decision tree structures to form at least one of: one or more combined decision tree structures, wherein a combined decision tree structure comprises multiple interconnected ones of the plurality of decision tree structures; and one or more individual decision tree structures, wherein an individual decision tree structure comprises a single one of the plurality of decision tree structures. | 2022-02-10 |
20220044146 | TECHNIQUES FOR EXTRACTING MACHINE-READABLE INFORMATION FROM P&IDS - In example embodiments, techniques are provided for using machine learning to extract machine-readable labels for text boxes and symbols in P&IDs in image-only formats. A P&ID data extraction application uses an optical character recognition (OCR) algorithm to predict labels for text boxes in a P&ID. The P&ID data extraction application uses a first machine learning algorithm to detect symbols in the P&ID and return a predicted bounding box and predicted class of equipment for each symbol. One or more of the predicted bounding boxes may be decimate by non-maximum suppression to avoid overlapping detections. The P&ID data extraction application uses a second machine learning algorithm to infer properties for each detected symbol having a remaining predicted bounding box. The P&ID data extraction application stores the predicted bounding box and a label including the predicted class of equipment and inferred properties in a machine-readable format. | 2022-02-10 |
20220044147 | TEACHING DATA EXTENDING DEVICE, TEACHING DATA EXTENDING METHOD, AND PROGRAM - A teaching data extending device includes: a relationship acquiring unit that obtains a relationship between a plurality of features included in each of a plurality of teaching data; a feature selecting unit that selects any one or more of the plurality of features based on the relationship; and a teaching data extending unit that generates, for one or more teaching data, new teaching data in which a value of the feature selected by the feature selecting unit is replaced with a value of the feature in another teaching data classified in a same class. | 2022-02-10 |
20220044148 | ADAPTING PREDICTION MODELS - A method and system for modifying a prediction model. In particular, an inaccuracy of the prediction model is categorized into one of at least three categories. Different modifications are made to the prediction model depending on the category of the inaccuracy. In particular examples, an inaccuracy category defines what training data is used to modify the prediction model. | 2022-02-10 |
20220044149 | TECHNIQUES FOR GENERATING MACHINE LEARNING TRAINED MODELS - Techniques are disclosed for the implementation of machine learning model training utilities to generate models for advanced driving assistance system (ADAS), driving assistance, and/or automated vehicle (AV) systems. The techniques described herein may be implemented in conjunction with the utilization of open source and cloud-based machine learning training utilities to generate machine learning trained models. One example of such an open source solution includes TensorFlow, which is a free and open-source software library for dataflow and differentiable programming across a range of tasks. TensorFlow may be used in conjunction with many different types of machine learning utilities. | 2022-02-10 |
20220044150 | SYSTEMS, METHODS, AND APPARATUS TO CLASSIFY PERSONALIZED DATA - Methods, apparatus, systems, and articles of manufacture are disclosed herein to associate a data collector with a class by executing a classification model using a first data collector characteristic, the first data collector characteristic corresponding to the data collector, the classification model generated by applying a learning algorithm to classification training data, the classification training data including second data collector characteristics of a training group, select the class based on a requested characteristic of a task request from a distribution agent, select the data collector associated with the class, and send the selection to the distribution agent. | 2022-02-10 |
20220044151 | APPARATUS AND METHOD FOR ELECTRONIC DETERMINATION OF SYSTEM DATA INTEGRITY - This application relates to apparatus and methods for determining the integrity of data, such as sensor data, in systems. In some examples, a computing device receives input data for the system, and executes a physics-based model to generate a first output. The physics-based model may include a plurality of surrogate models that simulate various portions of the system. The computing device may further execute a machine learning model that operates on the first output to generate a second output. The computing device may generate a predicted output for the system based on the first output and the second output. In some examples, the computing device determines an error for the system based on the predicted output and sensor data received from sensors for the system. Based on the error, the computing device determines if the sensor data is valid. The computing device may then provide an indication of the determination. | 2022-02-10 |
20220044152 | SIGNAL SELECTION DEVICE, LEARNING DEVICE, AND SIGNAL SELECTION METHOD AND PROGRAM - A signal selection device ( | 2022-02-10 |
20220044153 | VIRTUALIZING EXTERNAL MEMORY AS LOCAL TO A MACHINE LEARNING ACCELERATOR - Methods, systems, and apparatus, including computer programs encoded on computer storage media, for virtualizing external memory as local to a machine learning accelerator. One ambient computing system comprises: an ambient machine learning engine; a low-power CPU; and an SRAM that is shared among at least the ambient machine learning engine and the low-power CPU; wherein the ambient machine learning engine comprises virtual address logic to translate from virtual addresses generated by the ambient machine learning engine to physical addresses within the SRAM. | 2022-02-10 |
20220044154 | ELECTRICAL PANEL FOR DETERMINING A POWER MAIN OF A SMART PLUG - An electrical panel or an electrical meter may provide improved functionality by interacting with a smart plug. A smart plug may provide a smart-plug power monitoring signal that includes information about power consumption of devices connected to the smart plug. The smart-plug power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart plug, (ii) identify devices receiving power from the smart plug, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes. | 2022-02-10 |
20220044155 | ELECTRICAL METER FOR DETERMINING A POWER MAIN OF A SMART PLUG - An electrical panel or an electrical meter may provide improved functionality by interacting with a smart plug. A smart plug may provide a smart-plug power monitoring signal that includes information about power consumption of devices connected to the smart plug. The smart-plug power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart plug, (ii) identify devices receiving power from the smart plug, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes. | 2022-02-10 |
20220044156 | ELECTRICAL PANEL FOR IDENTIFYING DEVICES CONNECTED TO A SMART PLUG - An electrical panel or an electrical meter may provide improved functionality by interacting with a smart plug. A smart plug may provide a smart-plug power monitoring signal that includes information about power consumption of devices connected to the smart plug. The smart-plug power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart plug, (ii) identify devices receiving power from the smart plug, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes. | 2022-02-10 |
20220044157 | ELECTRICAL METER FOR IDENTIFYING DEVICES CONNECTED TO A SMART PLUG - An electrical panel or an electrical meter may provide improved functionality by interacting with a smart plug. A smart plug may provide a smart-plug power monitoring signal that includes information about power consumption of devices connected to the smart plug. The smart-plug power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart plug, (ii) identify devices receiving power from the smart plug, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes. | 2022-02-10 |
20220044158 | ELECTRICAL PANEL FOR TRAINING A MATHEMATICAL MODEL FOR A DEVICE USING A SMART PLUG - An electrical panel or an electrical meter may provide improved functionality by interacting with a smart plug. A smart plug may provide a smart-plug power monitoring signal that includes information about power consumption of devices connected to the smart plug. The smart-plug power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart plug, (ii) identify devices receiving power from the smart plug, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes. | 2022-02-10 |
20220044159 | ELECTRICAL METER FOR TRAINING A MATHEMATICAL MODEL FOR A DEVICE USING A SMART PLUG - An electrical panel or an electrical meter may provide improved functionality by interacting with a smart plug. A smart plug may provide a smart-plug power monitoring signal that includes information about power consumption of devices connected to the smart plug. The smart-plug power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart plug, (ii) identify devices receiving power from the smart plug, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes. | 2022-02-10 |
20220044160 | ELECTRICAL PANEL FOR DETERMINING DEVICE STATE CHANGES USING SMART PLUGS - An electrical panel or an electrical meter may provide improved functionality by interacting with a smart plug. A smart plug may provide a smart-plug power monitoring signal that includes information about power consumption of devices connected to the smart plug. The smart-plug power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart plug, (ii) identify devices receiving power from the smart plug, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes. | 2022-02-10 |
20220044161 | ELECTRICAL METER FOR DETERMINING DEVICE STATE CHANGES USING SMART PLUGS - An electrical panel or an electrical meter may provide improved functionality by interacting with a smart plug. A smart plug may provide a smart-plug power monitoring signal that includes information about power consumption of devices connected to the smart plug. The smart-plug power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart plug, (ii) identify devices receiving power from the smart plug, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes. | 2022-02-10 |
20220044162 | BLOCKCHAIN-BASED SECURE FEDERATED LEARNING - A method may include publishing metadata to a blockchain, the metadata describing a training task associated with a global machine-learning model and computational resource requirements for performing the training task. The method may include receiving a request to participate in training the global machine-learning model from one or more clients based on a relevance of a respective local dataset of each of the clients to the training task and a suitability of the clients to the computational resource requirements for performing the training task. The method may include obtaining local model updates in which each respective local model corresponds to a respective client and each respective local model update is generated based on training the global machine-learning model with each of the local datasets. The method may include aggregating the plurality of local model updates and generating an updated global machine-learning model based on the aggregated local model update. | 2022-02-10 |
20220044163 | CALENDAR BASED TASK AND TIME MANAGEMENT SYSTEMS AND METHODS - A software solution for managing, sorting and ranking lists of tasks and integrating task and time management, such that tasks can be automatically or manually assigned to specified time blocks. Users can monitor the relationship between volume of tasks and available time in which to complete them. The solution and method can be applied to individual task lists as well as to the management of time across multiple projects and can be employed either by individuals or by collaborative groups. The solution and method employ multiple filters, sorts and handling rules to embody users' personal planning preferences. It can be used to manage task lists both with and without employing a scheduling component. The solution can interoperate with existing computer- and web-based calendar software and can use third-party calendar clients to display its output and to accept input from users. | 2022-02-10 |
20220044164 | SOCIALLY DISTANT ENTERTAINMENT VENUE - A 360 degree viewing stage for viewing an event or concert outdoors that provides for socially distant viewing for vehicles The venue with the stage provides a socially distant entertainment venue that provides a safe environment for both the performers and the audience while still providing an experience for the viewer that they experienced prior to the pandemic. | 2022-02-10 |
20220044165 | CARSHARING SYSTEM AND CARSHARING METHOD - A carsharing system includes circuitry configured to: receive, from a user, a usage request for requesting a reservation for use of a vehicle which is supplied for a vehicle rental service; permit the reservation for use of the vehicle when the reception unit receives the usage request and no reservation for use of the vehicle has been made at time of receiving the usage request; and give, when the reservation for use of the vehicle is determined, a permission for locking or unlocking by using electronic information to the user at a date and a time on which the vehicle is used. | 2022-02-10 |
20220044166 | AUTOMATIC INITIATION OF FOLLOW-ON TRANSACTION FROM A PRIMARY TRANSACTION WITH NESTED APPLICATION DISTRIBUTION - A method of default sharing an electronic ticket purchase comprises receiving at least one electronic ticket from an electronic ticket vending system at an application interface in response to receiving an electronic ticket purchasing request from a user account associated with the application interface on the electronic ticket vending system; operating default sharing logic to receive the at least one electronic ticket from the application interface at a user interface and display an electronic ticket sharing interface to select a contact entry from stored contacts in memory to for the at least one electronic ticket; transmitting an electronic ticket notification by way of a network interface to a second client device in response to detecting a selected contact entry through the electronic ticket sharing interface; and transmitting a ticket install notification to an electronic ticket assignment controlled memory data structure to associate the at least one electronic ticket with the second client device in response to installation of the at least one electronic ticket on the second client device. | 2022-02-10 |
20220044167 | PRIORITIZING TRIM REQUESTS OF VEGETATION USING MACHINE LEARNING - A system for prioritizing trim requests can include an image processor that identifies a location associated with a customer trim request that includes an image of vegetation and industrial equipment and marks the vegetation and the industrial equipment visible in the image associated with the customer trim request. The system can also include a vegetation maintenance analyzer that searches for a match between the identified location associated with the customer trim request with a location associated with one of a past executed service ticket and a pending service ticket. The maintenance analyzer generates a maintenance profile for the customer trim request based on the results of the search and data in the customer trim request. The system can further include a priority engine that assigns priority to the customer trim request based on the maintenance profile for the customer trim request. | 2022-02-10 |
20220044168 | SYSTEMS AND METHODS FOR ANALYZING COMPUTER INPUT TO PROVIDE SUGGESTED NEXT ACTION FOR AUTOMATION - A system and method may determine, e.g. for suggestion to an automation designer, a next action in an automation sequence of actions being created. The automation sequence may include actions executed by a computer system which substitute for actions taken by a user operating a computer system. A sequence of actions may be received, a database of action sequences may be searched for a set of action sequences corresponding to the sequence of actions, and the next action may be presented or determined as being the for example a subsequent new action immediately after the last action matching any action from the received sequence of actions in an action sequence in the set of action sequences. | 2022-02-10 |
20220044169 | SYSTEMS AND METHODS FOR RESOURCE ANALYSIS, OPTIMIZATION, OR VISUALIZATION - A system and method for distributed surveillance of an area to monitor a process and visual effects of the process. Exemplary methods include, among others, asset effectiveness, issue identification and prioritization, workflow optimization, monitoring, estimation, verification, compliance, presentation, and/or identification for a given process. Such application may include, but are not limited to, manufacturing, quality control, supply chain management, and safety compliance. | 2022-02-10 |
20220044170 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM - An object is to manage work by a plurality of crew members who perform predetermined work on board a vehicle among a plurality of vehicles. An information processing apparatus manages the work by the plurality of crew members who perform the predetermined work on board a vehicle among a plurality of vehicles. The information processing apparatus determines a crew order that is an order of priority for each of the plurality of crew members to board a vehicle among the plurality of vehicles, the crew order being determined in order of a longest elapsed time since each of the plurality of crew members previously exited a vehicle among the plurality of vehicles. Additionally, the information processing apparatus transmits schedule information including the crew order to a plurality of first terminals respectively associated with the plurality of crew members. | 2022-02-10 |
20220044171 | Recommender System For Replacing Human Interaction Services - A human interaction replacement evaluation system analyzes actions taken by a user with an application on a client device that provides features to replace human interaction services with computer-based services. The results of the action provide an indication of the success of a particular action supported by the application (e.g., whether the action has a positive or negative effect on a key performance indicator) or an indication of how likely the user is to be ready to adopt a particular computer-based service. Recommendations are then provided to the user of the application or a manager of the application indicating actions to use, actions that have negative or positive effects on a key performance indicator, and so forth. | 2022-02-10 |
20220044172 | METHOD, SYSTEM AND TERMINAL DEVICE FOR OPERATION MANAGEMENT OF AIRCREW - A method for operation management of aircrew includes: determining multiple initial duties composed of a number of flights according to an obtained flight schedule, determining multiple initial pairings each including a start half pairing and an end half pairing according to the initial duties, selecting multiple candidate pairings from the multiple initial pairings with the objective of minimum total flight operating cost, and determining a roster schedule of the aircrew with a series of pairings according to the candidate pairings and obtained information of the aircrew. A process of generating the pairings includes: first, building two half pairings, namely a start half pairing and an end half pairing, and then combining the half pairings with tasks of an other base to flexibly connect the pairings of the other base through half pairing bridging. | 2022-02-10 |
20220044173 | PREDICTIVE DATA OBJECTS - A computing system accesses one or more data sources to determine maintenance optimization data associated with an asset within a set of assets. The maintenance optimization data may include one or more of: upcoming maintenance events for the asset, such as may be predicted based on analysis of historical maintenance information of the asset, a time series of predicted value of the asset over a time period around the upcoming maintenance event, such as within a few days or hours of the maintenance event, and/or a recommended window of time to initiate and/or perform upcoming maintenance events, which may be based on a combination of the expected upcoming maintenance events, and the time series of predicted value of the particular asset, for example. | 2022-02-10 |
20220044174 | UTILIZING MACHINE LEARNING AND PREDICTIVE MODELING TO MANAGE AND DETERMINE A PREDICTED SUCCESS RATE OF NEW PRODUCT DEVELOPMENT - A new product development system may provide, to one or more client devices and server devices, one or more tools to enable development of a new product. The new product development system may receive current project data identifying a current project for developing the new product, historical project data identifying historical projects for developing historical products, and industry data associated with the new product. The new product development system may process the current project data, the historical project data, and the industry data, with a machine learning model, to identify one or more variables for a predictive model and may process the one or more variables, with the predictive model, to predict a predicted success rate of the current project. The new product development system may perform one or more actions based on the predicted success rate of the current project. | 2022-02-10 |
20220044175 | Method for Designing a Traffic Infrastructure, Electronic Computing Device for Carrying Out a Method, Computer Program, and Data Carrier - Various embodiments of the teachings herein include a method for designing a traffic infrastructure on the basis of height data provided by a height monitoring object comprising: a) evaluating the height data detected by a sensor unit of the height monitoring object and generating an evaluation dataset; b) identifying a component of the traffic infrastructure from the evaluation dataset; c) identifying a user of the traffic infrastructure from the evaluation dataset; and d) determining a utilization of the component by the user. | 2022-02-10 |
20220044176 | COMPONENT MANUFACTURING SYSTEM AND COMPONENT MANUFACTURING METHOD - A component manufacturing system includes a main base, a first production base and a second production base. The main base designs a common wire harness and optional wire harnesses. The main base has a first order function of determining the number of common wire harnesses to be produced based on temporary order information and placing an order with the first production base, and a second order function of acquiring order confirmation information from the customer at a timing closer to a delivery date than the temporary order information and placing an order with the second production base for the completed wire harness based on the confirmation information. | 2022-02-10 |
20220044177 | Tool Appliance Community Objects with Price-Time Priority Queues for Transformed Tool Appliance Units - Implementations of various methods and systems to transform tool and appliance units with two waypoints or a destination waypoint or a series sequence of waypoints into objects which have associated price-time priority queues for transformed tool and appliance units. The present disclosed invention relates to combining the concepts of objected oriented programming, market price queues, tool and appliance, navigation systems and social networking and transportation as a fungible asset class or tool and appliance linked to transportation as an open market. | 2022-02-10 |
20220044178 | SYSTEM FOR ACTION DETERMINATION - A system for action determination includes an input unit, a processing unit, and an output unit. The input unit provides the processing unit with information relating to a plurality of past actions over a period of time associated with the operation of an industrial process. The input unit provides the processing unit with information relating to a plurality of past process events over the time period associated with the operation of the industrial process. The input unit provides the processing unit with information relating to a new process event. The processing unit determines a correlation between at least some of the plurality of past actions with at least some of the past process events. The processing unit determines at least one recommended action from the information relating to the new process event, the determination including utilization of the determined correlation. The output unit outputs the at least one recommended action. | 2022-02-10 |
20220044179 | OPTIMIZED ESTIMATES FOR SUPPORT CHARACTERISTICS FOR OPERATIONAL SYSTEMS - A method, system, and computer program product for predicting optimal service characteristics to execute predicted IT tickets. The method may include identifying deployment characteristics for an operational system based on an architecture of the operational system. The method may also include receiving implementation data in response to past incident tickets based on the deployment characteristics. The method may also include identifying relationships within the implementation data. The method may also include predicting a volume of new tickets based on the implementation data and the relationships between the implementation data. The method may also include predicting a resolution time for high severity tickets in the volume of new tickets. The method may also include determining preferred service characteristics based on the volume of the new tickets and the resolution time for the high severity tickets. The method may also include transmitting a recommendation comprising the preferred service characteristics. | 2022-02-10 |
20220044180 | USER INTERFACE-BASED MOBILITY TRANSACTION MANAGEMENT ON A MAAS PLATFORM - A system including broker node device is provided. The broker node device collects operation information associated with first plurality of nodes of first MaaS network. The broker node device determines operational trouble associated with the first plurality of nodes, based on the operation information and receives, from first publisher node of the first plurality of nodes, first transaction message associated with first transaction of first transportation service of the first MaaS network. The first transaction message includes first correlation identifier generated by first publisher node. The broker node device receives, from second node of the first plurality of nodes, first notification associated with receipt of first transaction message at second node. The broker node device determines cause for failure of first transaction based on the first correlation identifier, the first notification, or the operational trouble, and further controls display device to display the cause for failure. | 2022-02-10 |
20220044181 | System and Method for Crop Management - A system and method for crop management uses data of specific varieties, such as the effect of growing degree units (GDU) on the phenological stage and optimal soil moisture percentage (SMP) to predict crop growth, to water the crops, and to manage agricultural systems by suggesting planting dates required to meet harvest goals. For plants growing in irrigation tracts, the system and method may use soil moisture sensors and the phenological stage information to provide water to the plants. In other embodiments, predictions are made of harvest dates for planted varieties and/or planting dates to reach harvest goals. The effect of mulching may be taken into account. | 2022-02-10 |
20220044182 | MANAGING MEMBERS AGAINST OPPONENTS IN AN ENCOUNTER SET IN A COMPETITIVE ENVIRONMENT - In one example aspect, a computer-implemented method or managing one or more members during an encounter in a competitive environment in a “prudent yet aggressive” fashion includes: receiving input data relating to the encounter within the competitive environment; at incrementing timesteps, executing a simulation to select different move sets during progression of the encounter, each move set defining movements or assignments of each of the one or more members as part of developing a strategy. Selecting different move sets includes: generating first move set options for containing one or more opponents by members based on the input data; selecting a first move set; generating a node identifying the selected first move set option; generating second move set options based on the node as input; selecting a second move set; determining that objectives have been met; and generating and outputting instructions associated with the first and second move sets. | 2022-02-10 |
20220044183 | ENGINEER RECERTIFICATION ASSISTANT - An engineer recertification assistant that utilizes a real-time data acquisition and recording system (DARS), a DARS viewer, and a video analytics system for mobile assets. DARS includes a data recorder, an onboard data manager, and at least one local memory module. The video analytics system processes video data from at least one camera and operational data from the data recorder for critical events and regulatory requirements based on a mobile asset operator's operational performance. The processed video data and operational data is display, along with episodes, exceptions, and user comments, on a display device featuring a web portal. The engineer recertification assistant can further determine an automated score-based recommendation for certification or decertification of the mobile asset operator or can directly certify or decertify the mobile asset operator for gross non-compliance. | 2022-02-10 |
20220044185 | ALLOCATION SYSTEM AND ALLOCATION PROGRAM - According to one embodiment, an allocation system includes server to accept a customer pick-up order from a customer terminal and to store the customer pick-up order in a pick-up order list. The customer pick-up order includes a list of items to be purchased. The server determines whether a worker member is available for fulfilling customer pick-up orders based an input of identification information corresponding to the worker member. A worker member terminal presents information corresponding to customer pick-up orders after the worker member has been determined to be available, and accepts a selection operation from the worker member indicating a selection of one of the pick-up orders. The selected one of the pick-up orders is then allocated to the worker member. | 2022-02-10 |
20220044186 | ARRANGING A TRANSPORT SERVICE FOR MULTIPLE USERS - A system can arrange a transport service for a rider. The system can receive, from a first computing device of a first rider, a request for a transport service. The request can include a first pickup location and a first destination location. Based on the first pickup location and the first destination location, the system can determine a plurality of candidate drivers that are each currently assigned to provide a transport service for a respective rider. The system can perform a selection process to select a driver from the plurality of candidate drivers by, for each candidate driver, determining a set of possible travel sequences in which that candidate driver can provide both the transport service for the respective rider and the transport service for the first rider and computing a score for each possible travel sequence. | 2022-02-10 |
20220044187 | SCHEDULE MANAGING METHOD AND SCHEDULE MANAGING APPARATUS - A schedule managing method includes: a number-of-worker inputting step of inputting the number of workers who perform arrangement work of arranging the members to arrangement means, in association with a production time point for producing products; a preparation time point changing step of changing a start time point or an end time point of the arrangement work in a preparation work schedule based on a work quantity of the arrangement work and the number of workers; a production time point changing step of changing a start time point or an end time point of production of the products in a production schedule based on a start time point or an end time point of the changed arrangement work; and a displaying step of displaying the production schedule, the preparation work schedule, and the number of workers along the production time point. | 2022-02-10 |
20220044188 | METHODS, SYSTEMS, AND DEVICES FOR PORTABLE ENVIRONMENT CONTROLLED CONTAINERS - Disclosed are portable containers for delivering food products from a central location to a remote location. More specifically, the disclosure relates to portable containers for delivering food products operable to maintain an environment for the food product during the delivery process. | 2022-02-10 |
20220044189 | CONTROL APPARATUS, NON-TRANSITORY COMPUTER READABLE MEDIUM, AND CONTROL METHOD - A control apparatus is communicably connected to a vehicle, the control apparatus including a controller configured to: upon receiving a use request for a delivery service of luggage using a trunk of the vehicle, identify a parking space that the vehicle is scheduled to park at; and determine whether a door of the trunk will be openable when the vehicle is in a parked state at the parking space. | 2022-02-10 |
20220044190 | SYSTEM FOR PARCEL TRANSPORT 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. Exemplary arrangements provide for the pickup of parcels at initial pickup addresses at which shipments originate and deliveries to final delivery addresses of parcel recipients. | 2022-02-10 |
20220044191 | INVENTORY TRACKING - An inventory system is provided herein, comprising a first inventory system unit and a second inventory system unit. The first inventory system unit comprises at least a configuration transmitter to generate a configuration field inside a first field zone to configure one or more UHF RFID tags within said first field zone into a configured state deviating from a default state. The second inventory system unit therein comprises at least an interrogation transceiver to generate an interrogation field inside a second field zone that is at least partly outside said first field zone to subsequently interrogate a set of one or more UHF RFID tags that are within said second field zone and that are in the configured state as a result of being configured by the configuration transmitter. | 2022-02-10 |
20220044192 | MANAGING AUTOMATED GUIDANCE AND VALIDATION OF STACKING ITEMS TO HANDLING UNITS - A method, system and/or computer usable program product for managing automated guidance and validation of stacking items including generating a predicted map of an item set stacked onto a handling unit; generating an observed map of the item set stacked onto the handling unit; and comparing the predicted map with the observed map to verify the position and orientation of the item set stacked onto the handling unit. | 2022-02-10 |
20220044193 | 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. | 2022-02-10 |
20220044194 | INTELLIGENT DELIVERY SYSTEM - Intelligent tools are provided to enable a mailcenter in a campus to provide mail service to mail service customers and perform processing of mail, in an automated manner as much as possible. Such processing may be performed include scanning and obtaining mail information from a mailpiece, and then sending such mail information to the mail service customer (as specified addressee of the mailpiece) by electronic notification via a corresponding electronic address. | 2022-02-10 |
20220044195 | Electronic Apparatus for Providing Picking Information of Item and Method Thereof - Provided is an electronic apparatus and a method thereof. The method includes identifying pickup item information, identifying at least one storage place corresponding to the pickup item information among a plurality of storage places in the item storage center based on information on or regarding an item group located at each of the plurality of storage places, and providing information on the identified storage place and the pickup item information to a manager terminal, wherein the item group comprises at least one same item corresponding to an item group, and at least a portion of a plurality of item groups comprising a same item are stored in different storage places in the item storage center. | 2022-02-10 |
20220044196 | SYSTEMS FOR MONITORING AND REORDERING SUPPLIES - Supply management systems for a supply item. The supply management systems include a weight detector, an item identifier, a platform, and a computer. The weight detector is configured to detect a current weight of the supply item. The item identifier is configured to identify the supply item. The platform is supported on the weight detector and configured to support the supply item. The computer is in data communication with the weight detector and the item identifier. The computer is configured to receive supply item identifier data; identify the supply item; store a reorder threshold weight value; receive the current weight of the supply item; dynamically compare the current weight with the reorder threshold weight value; and update a supply status of the supply item to indicate that a reorder threshold has been reached. | 2022-02-10 |
20220044197 | QUANTITY SENSING STORAGE SYSTEM - A quantity sensing storage device enables automatic ordering of a product using an ordering engine that monitors quantity signals generated by a quantity sensor that is configured to provide the quantity signals based on a quantity of a first set of a product stored at the quantity sensing storage device. Base on the quantity of the first set, the ordering engine determines whether an order threshold has been satisfied. The quantity sensing storage device automatically provides instructions to a service provider device via a wireless communication subsystem to order a second set of the product in response to determining that the order threshold has been satisfied. The ordering engine continuously updates the order threshold such that when the second set of the product is received by a user of the quantity sensing storage device, an optimal portion of the first set of the product remains stored in the storage enclosure. | 2022-02-10 |
20220044198 | METHOD AND APPARATUS FOR DYNAMIC LOAD SELECTION AND PARKING CALCULATION FOR LAST MILE DELIVERY - An approach is provided for providing a dynamic parking and package delivery load recommendation based on on-site parking availability and delivery capability attributes of a delivery means (e.g., a deliver person) of a delivery vehicle. The approach involves determining a stopping location associated with a delivery vehicle. The delivery vehicle carries a plurality of delivery items. The approach also involves determining a subset of the plurality of delivery items to be delivered from the stopping location by a delivery means of the delivery vehicle in a load based, at least in part, on one or more delivery capability attributes of the delivery means. The subset of the plurality of delivery items is determined dynamically based on detecting that the delivery vehicle has stopped at the stopping location. The approach further involves providing data for presenting or transmitting the subset of the plurality of delivery items as an output. | 2022-02-10 |
20220044199 | AUTOMATIC GENERATION Of A TWO-PART READABLE SUSPICIOUS ACTIVITY REPORT (SAR) FROM HIGH-DIMENSIONAL DATA IN TABULAR FORM - A computerized-method for automatically generating a two-part readable Suspicious Activity Report (SAR) from high-dimensional data in tabular form is provided herein. The computerized-method may include receiving high-dimensional data in tabular form of evidence financial transactions to be reported under Anti Money Laundering (AML) regulations. Then, displaying the received data to a Subject Matter Expert (SME) for ordering each displayed transaction in a predefined construction; Then, training one or more Natural Language Generation (NLG) translation models, for each transaction type, according to a deep learning model. Then, operating the one or more NLG translation models on each transaction e to generate for each transaction type a narrative of SAR; Then, operating a prebuilt summary model on the generated narrative of SAR of each transaction type to generate a summary of the narrative of SAR; and combining the narrative of SAR and the summary of narrative of SAR to one SAR. | 2022-02-10 |
20220044200 | MATCHING BUSINESS NEED DOCUMENTS - A method performs actions based on business need matching. A set of business need documents are filtered for relevance with respect to a query business need document to remove irrelevant documents based on business need relevance criteria. Hidden business intentions in remaining business need documents are extracted from the set after the filtering. For the query document with respect to the remaining business need documents, the following are computed: a business intention-based matching score, a business entity-based matching score, and an action modeling based matching score. Using an ensemble method, the scores are integrated into a final score, where higher scoring ones of the remaining business need documents more match a business need of the query business need document. Using an automated manufacturing system, a hardware item is co-manufactured responsive to a joint manufacturing venture derived from the final score. | 2022-02-10 |
20220044201 | CONTAINERIZED CONTEXTUAL CONVERSATION SYSTEM - Systems herein include a managed content application that can place markers for conversations within secure documents. A separate social application can serve as the platform for the conversations, allowing for efficient conversations that can occur in real time. The markers can be stored with the documents and identify the conversation, allowing users to retrieve historical conversations that occurred on the social application from within the document. This can allow users to quickly come up to speed without having to rehash the conversations with the original participants. Document security can also be maintained without sacrificing conversation efficiency of the social application. | 2022-02-10 |
20220044202 | DATA PROCESSING APPARATUS, DATA PROCESSING SYSTEM, DATA PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM - A data processing apparatus includes a central processing unit that receives user operations for changing a portion of a document, and edits the document by a first user and a second user in parallel. The first user and the second user each have an editing right and, in response to the editing rights, an editing page is displayed differently depending on the user. | 2022-02-10 |
20220044203 | TAKT SYSTEM AND METHOD FOR COLLABORATION OF PRODUCTION PROCESSES WITH UNCERTAIN TIME - The present invention provides a takt system and method for the collaboration of production processes with uncertain time, which relates to the technical field of task collaboration. The present invention measures the collaboration efficiency of the production processes with indices such as estimated wasted time, and calculates the estimated wasted time by the expectation of the weighted sum of wasted time. For the collaboration of the production processes with uncertain time, the propagation of uncertainty factors and occurrence of wasted time in the collaborative production process are limited in a manner of takt. In different scenarios focusing on the collaboration efficiency and completion probability of the production processes, two takt control models are established, and takt solutions for the collaboration of production processes with uncertain time are obtained by solving the models. The method proposed effectively reduces the wasted time in the production processes and improves the collaboration efficiency. | 2022-02-10 |
20220044204 | ARTIFICIAL INTELLIGENCE SYSTEM FOR CONTROL TOWER AND ENTERPRISE MANAGEMENT PLATFORM MANAGING SENSORS AND CAMERAS - A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins. | 2022-02-10 |
20220044205 | SYSTEMS AND METHODS FOR MANAGING INTERVIEW INFORMATION - Systems and methods for organizing, managing, and generating information and resources for use in connection with interviews. User configurable systems track upcoming interviews, generate interview packets according to user selections that are customized according to the intended recipient. A central server directs the creation of resources and notifications for pre- and post-interview activities. Questionnaires are generated for a variety of users according to a predetermined schedule and submitted answers are transmitted to one or more users according to predefined parameters. | 2022-02-10 |
20220044206 | Multiple Data Source Date-Based User Interface System and Method - A system and method are presented that integrate date-related data from a variety of disparately defined data sources into a single user interface. Date-related data is defined in tactics that are associated with types. The types are associated with additional field definitions that allow for a single tactic data entity to be created for a variety of tactic types, with different tactic types being associated with different sets of additional fields. Cues are also used to automate the generation of date-related tactics. Cues can be triggered by the creation of trigger tactics of a predetermined type, or through an event in a subscribed database. Individual tactics record estimated and actual expenses for budgeting purposes. Finally, plan hierarchies allow for the integrated viewing of date-based tactics defined at different levels of the hierarchy. | 2022-02-10 |
20220044207 | VEHICLE SERVICE AUTHORIZATION - In some examples, a system determines a context relating to a requested service of a vehicle, the context comprising information of a location related to the vehicle. The system authorizes the requested service based on the determined context. | 2022-02-10 |
20220044208 | Smart waste device and waste tracking system - An electronic waste tracking device, process, and system to track waste from one location to another location. | 2022-02-10 |
20220044209 | METHOD AND DEVICE FOR CONFIRMING A LEGAL TRANSACTION - A method for confirming a legal transaction. The method includes: instructions for the legal transaction are stipulated in a smart contract between a principal and an authorized agent, and the legal transaction is confirmed by the authorized agent on the basis of the contract in accordance with the principal's instructions. | 2022-02-10 |
20220044210 | INFORMATION SERVICE SYSTEM, INFORMATION SERVICE METHOD, AND PROGRAM - PROBLEM TO BE SOLVED: To provide an information service system and the like that can notify useful information using location information to a user terminal that does not use a location-based service. | 2022-02-10 |
20220044211 | TRANSACTION SETTLEMENT METHOD AND APPARATUS - A method and a device for transaction clearing are used to increase clearing flexibility and reduce server load pressure. The method includes receiving first clearing requests transmitted by a quantity N of terminals, where N>1 ( | 2022-02-10 |
20220044212 | Aggregator Server and Method for Generating Unique Identifiers for Processing Payments from Different Payment Instruments - Embodiments provide electronic methods and systems for performing recurring payments to the merchants. The method performed by an aggregator server includes receiving a standing instruction (SI) request including a plurality of unique data fields from an acquirer server. The unique data fields represent setting up of a recurring payment transaction from a payment instrument of a user to a merchant account of the merchant. The method includes generating and storing a unique identifier corresponding to the SI request. The method includes transmitting the SI request along with the unique identifier to an issuer server associated with the payment instrument to authorize the SI request for processing the recurring payment. The method further includes receiving an authorization response message in response to successful authorization of SI request by issuer server. Further, method includes transmitting authorization response message along with unique identifier to acquirer server for setup of SI for recurring payment. | 2022-02-10 |
20220044213 | BLOCKCHAIN BASED BANK CHECKING NETWORK WITH PAPER CHECKING ENHANCEMENTS - Systems and methods for providing blockchain based paper checks (BC Checks) that may be redeemed without traditional coordination between financial institutions of participants. | 2022-02-10 |
20220044214 | METHOD AND APPARATUS FOR TRANSFERRING RESOURCE IN BATCHES - Implementations of the present specification provide a method and an apparatus for transferring a resource in batches, applied to the following scenario: a resource transferor holds a first resource, a receiving target of a resource transferee is a second resource, and the first resource of the resource transferor cannot be transferred once in a resource transfer process. In the resource transfer process, a client corresponding to the resource transferor sends a resource transfer request to a conversion serving end. The conversion serving end feeds back a to-be-transferred share and a service identifier to the client. The client transfers a first share of the first resource by using an associated transfer platform based on the to-be-transferred share and the service identifier that are fed back. The associated transfer platform can send a transfer record of the first resource to the conversion serving end based on the service identifier. The conversion serving end dynamically updates the to-be-transferred share until an updated to-be-transferred share does not exceed a predetermined threshold. The conversion serving end can convert the transferred first resource into the second resource based on a predetermined conversion condition. As such, an effective solution of transferring a resource in batches can be provided. | 2022-02-10 |
20220044215 | CONSUMER CONTROLLED SHARING OF DETAILS OF RETAIL TRANSACTIONS - An aspect of present disclosure facilitates consumer controlled sharing of details of retail transactions. In one embodiment, a server receives a unique code for a retail transaction performed by a user (e.g. consumer), and then retrieves, based on the unique code, details of the retail transaction (including a set of items purchased as part of the retail transaction). The server then stores the details of the retail transaction associated with the user in a non-volatile storage. The server also enables the user to share the details of the transaction (or the information about an item purchased as part of the retail transaction) with third parties such as producers/manufacturers, wholesalers, etc. Accordingly, a user/consumer is provided enhanced control in the sharing of details of their retail transactions. | 2022-02-10 |
20220044216 | SYSTEMS AND METHODS FOR ROUTING ELECTRONIC TRANSACTIONS USING PREDICTED AUTHORIZATION APPROVAL - A method for routing electronic payment transactions includes receiving transaction-related information from a merchant, extracting transaction routing criteria from the received transaction-related information, dynamically identifying one or more eligible payment networks based on extracted transaction routing criteria, predicting a likelihood of authorization acceptance for each identified network based on the transaction-related information, dynamically identifying one or more breakeven transaction amounts for each identified eligible payment network, each breakeven transaction amount defining a point at which two or more eligible payment networks have the same expenses for a given transaction amount, the expenses including costs associated with a low predicted likelihood of authorization acceptance, and routing signature debit transactions from the merchant to a least cost PIN-less debit network selected from the eligible payment networks based on identification of a desired breakeven transaction amount for the PIN-less debit network. | 2022-02-10 |