30th week of 2020 patent applcation highlights part 49 |
Patent application number | Title | Published |
20200234152 | DATA ANALYSIS AND VISUALIZATION USING STRUCTURED DATA TABLES AND NODAL NETWORKS - Disclosed methods and systems describe an analytics server that generates an inter-related nodal data structure. The analytics server receives an electronic template having a set of input fields, the electronic template identifying at least a portion of data stored within a database and its corresponding domain data table and a display attribute, the electronic template further identifying a database storing the data; retrieves the data from the database; parses the data into a set of unique domain data tables having a first criterion and a set of unique dimension tables having a second criterion; generates a nodal network comprising a set of nodes where each node represents at least a portion of the retrieved data, each node having metadata comprising a unique identifier corresponding to a unique domain table and a unique dimension table corresponding to data associated with each node; links one or more nodes based their respective metadata. | 2020-07-23 |
20200234153 | DATA ANALYSIS AND VISUALIZATION USING STRUCTURED DATA TABLES AND NODAL NETWORKS - Disclosed methods and systems describe an analytics server that generates an inter-related nodal data structure. The analytics server receives an electronic template having a set of input fields, the electronic template identifying at least a portion of data stored within a database and its corresponding domain data table and a display attribute, the electronic template further identifying a database storing the data; retrieves the data from the database; parses the data into a set of unique domain data tables having a first criterion and a set of unique dimension tables having a second criterion; generates a nodal network comprising a set of nodes where each node represents at least a portion of the retrieved data, each node having metadata comprising a unique identifier corresponding to a unique domain table and a unique dimension table corresponding to data associated with each node; links one or more nodes based their respective metadata. | 2020-07-23 |
20200234154 | DATA ANALYSIS AND VISUALIZATION USING STRUCTURED DATA TABLES AND NODAL NETWORKS - Disclosed methods and systems describe an analytics server that generates an inter-related nodal data structure. The analytics server receives an electronic template having a set of input fields, the electronic template identifying at least a portion of data stored within a database and its corresponding domain data table and a display attribute, the electronic template further identifying a database storing the data; retrieves the data from the database; parses the data into a set of unique domain data tables having a first criterion and a set of unique dimension tables having a second criterion; generates a nodal network comprising a set of nodes where each node represents at least a portion of the retrieved data, each node having metadata comprising a unique identifier corresponding to a unique domain table and a unique dimension table corresponding to data associated with each node; links one or more nodes based their respective metadata. | 2020-07-23 |
20200234155 | DATA ANALYSIS AND VISUALIZATION USING STRUCTURED DATA TABLES AND NODAL NETWORKS - Disclosed methods and systems describe an analytics server that generates an inter-related nodal data structure. The analytics server receives an electronic template having a set of input fields, the electronic template identifying at least a portion of data stored within a database and its corresponding domain data table and a display attribute, the electronic template further identifying a database storing the data; retrieves the data from the database; parses the data into a set of unique domain data tables having a first criterion and a set of unique dimension tables having a second criterion; generates a nodal network comprising a set of nodes where each node represents at least a portion of the retrieved data, each node having metadata comprising a unique identifier corresponding to a unique domain table and a unique dimension table corresponding to data associated with each node; links one or more nodes based their respective metadata. | 2020-07-23 |
20200234156 | CASE-BASED REASONING SYSTEMS AND METHODS - Systems and methods disclosed herein provide for a case-based reasoning using universal ontologies. Embodiments of the systems and methods provide for comparing current and past cases based on the universal ontologies and sorting the past cases based on the comparison, wherein the universal ontology integrates authority information associated with the current and past cases. | 2020-07-23 |
20200234157 | SERVICE PROVIDING SYSTEM, BUSINESS ANALYSIS SUPPORT SYSTEM, AND METHOD - Disclosed is a service providing system capable of providing an information processing function effective for a variety of system constructions as a service. The service providing system of the present embodiment realizes an information retrieval function, a knowledge base construction function, and a knowledge presentation function. The information retrieval function retrieves information on an analysis target and information indicating a condition of the analysis target; the knowledge base construction function constructs a knowledge database for acquiring knowledge corresponding to the condition of the analysis target based on the information retrieved by the information retrieval function. The knowledge presentation function presents knowledge corresponding to the condition of the analysis target from the knowledge database. | 2020-07-23 |
20200234158 | DETERMINING FEATURE IMPACT WITHIN MACHINE LEARNING MODELS USING PROTOTYPES ACROSS ANALYTICAL SPACES - Methods, systems, and non-transitory computer readable storage media are disclosed for analyzing feature impact of a machine-learning model using prototypes across analytical spaces. For example, the disclosed system can identify features of data points used to generate outputs via a machine-learning model and then map the features to a feature space and the outputs to a label space. The disclosed system can then utilize an iterative process to determine prototypes from the data points based on distances between the data points in the feature space and the label space. Furthermore, the disclosed system can then use the prototypes to determine the impact of the features within the machine-learning model based on locally sensitive directions; region variability; or mean, range, and variance of features of the prototypes. | 2020-07-23 |
20200234159 | DETERMINING WHETHER TO PROCESS A HOST REQUEST BY TRAINING A MACHINE LEARNING MODULE - Provided are a computer program product, system, and method for determining whether to process a host request by training a machine learning module. A machine learning module receives input information related to at least one of running tasks, mail queue messages related to host request processing, I/O request processing, and a host request received from a host system and produces output for the host request indicating whether to process the host request. A determination is made of output produced from the machine learning module based on the input information for a received host request. A determination is made of an expected output based on a measured system resource usage and an optimum system resource usage. The machine learning module is retrained with the input information, the output produced from the machine learning module, and the expected output and provided to determine whether to process a received host request. | 2020-07-23 |
20200234160 | INFERRED USER INTENTION NOTIFICATIONS - In one example, a method includes receiving, by a computing system, context information associated with a computing device; inferring, by the computing system and based on the context information, an action of a user of the computing device, the action associated with at least one entity; determining, by the computing system and based on stored attribute information associated with the at least one entity, and based on a stored set of rules associated with the inferred action, that the inferred action is not advisable; and responsive to determining that the inferred action is not advisable, outputting, by the computing system and for display on the computing device, notification data indicating that the inferred action is not advisable. | 2020-07-23 |
20200234161 | ABNORMALITY DETECTION DEVICE AND ABNORMALITY DETECTION METHOD - A first candidate determination unit determines whether acquired sensor information is in a normal range. A second candidate determination unit determines whether there is a combination corresponding to a combination of the acquired sensor information and device information in a learning database in which combinations of sensor information and device information in a normal state are stored. A reset determination unit determines whether there is sensor information or device information corresponding to the acquired sensor information or device information in a behavior pattern database in which sensor information or device information in the normal state is stored. In a case where the determination of the first candidate determination unit is negative, a determination unit determines that it is the normal state when the determination of the second candidate determination unit is positive, and the determination unit determines that it is an abnormal state when the determination of each of the second candidate determination unit and the reset determination unit is negative. In a case where the determination of the first candidate determination unit is negative, an update unit registers the combination of the acquired sensor information and device information in the learning database when the determination of the second candidate determination unit is negative and the determination of the reset determination unit is positive. | 2020-07-23 |
20200234162 | MACHINE LEARNING PIPELINE FAILURE PREDICTION - A system is provided that includes a memory containing a target data set, a software application configured to apply a machine learning (ML) pipeline to an input data set, and a computing device. The computing device is configured to obtain, from the memory, the target data set; apply the ML pipeline to the target data set, and provide an indication of the determined inadequacy of the target data set. Applying the ML pipeline results in at least one of generation of an ML model from the target data set or determination of an inadequacy of the target data set. Determining an inadequacy of the target data set includes determining that generation of the ML model failed or that ML model generation would result in a deficient ML model, and determining that the target data set is inadequate in a manner related to the determined failure metric. | 2020-07-23 |
20200234163 | PRE-VISIT DATA ROOM CONTENT EVALUATION METHOD AND PROGRAM PRODUCT - A method of data room content evaluation and a computer program product therefor. Valuation inputs indicate contents expected to be determined in a data room visit. A score range is selected for each valuation input and prior models are elicited. Conditional probabilities for a likelihood model are estimated interactively. Using estimated conditional probabilities the value of a visit or visits are calculated for subsequent analysis. Then, the value of data room visits may be determined by interactively analyzing estimated conditional probabilities. | 2020-07-23 |
20200234164 | SAMPLING SCHEMES FOR STRATEGY SEARCHING IN STRATEGIC INTERACTION BETWEEN PARTIES - Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing counterfactual regret minimization (CFR) for strategy searching in strategic interaction between parties. One of the methods includes: identifying N1 possible actions of a first party in a first state of the first party; sampling a possible action out of the N1 possible actions in the first state of the first party with a first sampling probability; identifying N2 possible actions of the first party in a second state of the first party, wherein the first state of the first party is closer to a beginning state of the IIG than the second state of the first party; sampling a possible action out of the N2 possible actions in the second state of the first party with a second sampling probability, wherein the first sampling probability is less than the second sampling probability. | 2020-07-23 |
20200234165 | PREDICTION METHOD FOR AERO-ENGINE STARTING EXHAUST TEMPERATURE - A prediction method for an aero-engine starting exhaust temperature. A prediction model for the engine starting exhaust temperature is obtained by using a machine learning-based method and aero-engine ground test data. The model has high prediction accuracy and good generalization ability. The prediction result can be further used for engine control, etc., reducing the possibility of overheating of the engine. Compared with the traditional single parameter prediction, this contains more information because of using fusion prediction, so that prediction errors are reduced; and compared with the single prediction algorithm, this assembles weak learner by means of an AdaBoost. RT ensemble algorithm, so that the prediction errors are smaller. | 2020-07-23 |
20200234166 | REAL-TIME MULTI-AGENT BDI ARCHITECTURE WITH AGENT MIGRATION AND METHODS THEREOF - Systems and methods for controlling and implementing a concurrent multi-agent BDI architecture to control complex systems in real time and exhibiting high parallelism. The system comprises BDI agent modules storing a BDI state of the whole system, an emotional and an internal the BDI agent modules and a world model. Each BDI agent module concurrently evaluates the activation of its potential goals and prioritizes its intentions. Each BDI agent module may be hardware-implemented, software-implemented or hybrid-domain-implemented, depending on whether they are executed on application-specific hardware, general purpose hardware or a combination thereof. The domain of each BDI agent might be migrated in real time during operation, optimizing resources and improving performance. | 2020-07-23 |
20200234167 | SYSTEM AND METHOD FOR TREE-BASED MACHINE LEARNING - Systems and methods of updating a multi-level data structure for controlling an agent. The method may include: accessing a data structure defining one or more nodes. A non-leaf node of the one or more nodes may be associated with one or more edges for traversing to a subsequent node. An edge of the one or more edges may be associated with a visit count and a softmax state-action value estimation. The method may include identifying a node trajectory including a series of nodes based on an asymptotically converging sampling policy, where the node trajectory includes a root node and a leaf node of the data structure, determining a reward indication associated with the node trajectory; and for at least one non-leaf node, updating the visit count and the softmax state-action value estimate associated with one or more edges of the non-leaf node based on the determined reward indication. | 2020-07-23 |
20200234168 | DETECTING AND CORRECTING POTENTIAL ERRORS IN USER BEHAVIOR - A computing system is described that predicts a future action to be taken by a user of a computing device and determines, based on contextual information associated with the computing device, a current action being taken by the user. The computing system determines, based on the current action, a degree of likelihood of whether the user will be able to take the future action and predicts, based on the degree of likelihood, that the user will not be able to take the future action. The computing system sends information to the computing device indicating that the current action being taken by the user will lead to the user not being able to take the future action. | 2020-07-23 |
20200234169 | CONSTRUCTING INTELLIGENT SYSTEM PROCESSING UNCERTAIN CAUSAL RELATIONSHIP TYPE INFORMATION - Techniques for an intelligent system processing uncertain causal relationship type information are disclosed herein. The disclosed techniques comprise determining, by using a new logic gate and new action variables, an effect of evidences and a combination thereof on the probability of occurrence of a root cause event; determining, by using an universal logic gate, a logic relationship between a cause event and a combination of more than one result event, and performing reasoning; determining, by using a specific event, a corresponding relationship between the specific event and a root cause event, and directly determining a cause when the specific event is observed; determining, by using a degree of attention of a result event, a degree of decrease of a probability that a reasoning result is true due to that the result event cannot be explained by the reasoning result, and involving said degree of attention in probability calculation; and determining, by using a degree of risk of the root cause event, a degree of damage to a system caused by the root cause event, and involving said degree of risk in reasoning calculation. | 2020-07-23 |
20200234170 | METHOD FOR CLASSIFYING ECO-GEOLOGICAL ENVIRONMENT TYPES BASED ON COAL RESOURCE EXPLOITATION - A method for classifying eco-geological environment types based on coal resource exploitation solves the problem in the prior art of a lack of combined consideration of different geological and ecological environments on the surface in a to-be-mined area before coal mining. Based on surveys of ecological, hydrological, and geological information of the area, and by means of a Fuzzy Delphi Analytic Hierarchy Process (FDAHP) and weighted fuzzy C-means clustering, the present invention determines different eco-geological environment types. According to the existing ecological, hydrological, and geological information, the present invention can rapidly and effectively classify the different eco-geological environment types, and further determine eco-geological features and their sensitivity to coal resource exploitation. | 2020-07-23 |
20200234171 | TECHNIQUES FOR COUPLING QUBITS TO ACOUSTIC RESONATORS AND RELATED SYSTEMS AND METHODS - Techniques for operating a mechanical oscillator as a quantum memory are described. According to some aspects, a qubit may be coupled to a piezoelectric material such that the electric field of the qubit causes stress within the piezoelectric material. The piezoelectric material may be in contact with a crystalline substrate forming an acoustic resonator such that the qubit couples to bulk acoustic waves in the crystalline substrate via its interaction with the suitable electromagnetic pulse to the qubit may cause an exchange of energy from the qubit to the acoustic phonon system and thereby transfer quantum information from the qubit to the phonon system. | 2020-07-23 |
20200234172 | SYSTEMS AND METHODS FOR HYBRID ALGORITHMS USING CLUSTER CONTRACTION - Systems and methods are described for operating a hybrid computing system using cluster contraction for converting large, dense input to reduced input that can be easily mapped into a quantum processor. The reduced input represents the global structure of the problem. Techniques involve partitioning the input variables into clusters and contracting each cluster. The input variables can be partitioned using an Unweighted Pair Group Method with Arithmetic Mean algorithm. The quantum processor returns samples based on the reduced input and the samples are expanded to correspond to the original input. | 2020-07-23 |
20200234173 | FLUX CONTROL OF QUBIT UNDER RESONANT EXCITATION - Systems and methods are provided for flux control of a qubit. A quantum system includes a microwave transmitter configured to provide a continuous microwave tone, and a qubit configured such that transition energy of the qubit between a ground state of the qubit and a first excited state of the qubit is tunable via an applied flux. The qubit also has an inductive element responsive to the continuous microwave tone to produce a Rabi oscillation within the qubit. A flux source is configured to apply a flux to the qubit to selectively tune the transition energy of the qubit, such that the transition energy of the qubit can be tuned to a frequency of the Rabi oscillation or detuned from the Rabi oscillation. | 2020-07-23 |
20200234174 | COST FUNCTION DEFORMATION IN QUANTUM APPROXIMATE OPTIMIZATION - Techniques for performing cost function deformation in quantum approximate optimization are provided. The techniques include mapping a cost function associated with a combinatorial optimization problem to an optimization problem over allowed quantum states. A quantum Hamiltonian is constructed for the cost function, and a set of trial states are generated by a physical time evolution of the quantum hardware interspersed with control pulses. Aspects include measuring a quantum cost function for the trial states, determining a trial state resulting in optimal values, and deforming a Hamiltonian to find an optimal state and using the optimal state as a next starting state for a next optimization on a deformed Hamiltonian until an optimizer is determined with respect to a desired Hamiltonian. | 2020-07-23 |
20200234175 | CONSTRUCTING AND PROGRAMMING QUANTUM HARDWARE FOR ROBUST QUANTUM ANNEALING PROCESSES - Among other things, an apparatus comprises quantum units; and couplers among the quantum units. Each coupler is configured to couple a pair of quantum units according to a quantum Hamiltonian characterizing the quantum units and the couplers. The quantum Hamiltonian includes quantum annealer Hamiltonian and a quantum governor Hamiltonian. The quantum annealer Hamiltonian includes information bearing degrees of freedom. The quantum governor Hamiltonian includes non-information bearing degrees of freedom that are engineered to steer the dissipative dynamics of information bearing degrees of freedom. | 2020-07-23 |
20200234176 | QUANTUM PHASE ESTIMATION OF MULTIPLE EIGENVALUES - Methods, systems, and apparatus for quantum phase estimation. In one aspect, an apparatus includes a quantum circuit comprising a first quantum register comprising at least one ancilla qubit, quantum gates, comprising at least (i) two Hadamard gates, (ii) a phase gate, (iii) a unitary operator, and (iv) a measurement operator, a second quantum register comprising one or more qubits, wherein the second quantum register is prepared in an arbitrary quantum state that is not an eigenstate of the unitary operator; and a phase learning system, configured to perform phase estimation experiments on the quantum circuit, comprising repeatedly measuring the state of an ancilla qubit for each phase estimation experiment to determine an expectation value of the state of the ancilla qubit and learn phases of the eigenvalues of the unitary operator. | 2020-07-23 |
20200234177 | DATA SET GENERATION FOR TESTING OF MACHINE LEARNING PIPELINES - A system may include memory containing: (i) a master data set representable in columns and rows, and (ii) a query expression. The system may include a software application configured to apply a machine learning (ML) pipeline to an input data set. The system may include a computing device configured to: obtain the master data set and the query expression; apply the query expression to the master data set to generate a test data set, where applying the query expression comprises, based on content of the query expression, generating the test data set to have one or more columns or one or more rows fewer than the master data set; apply the ML pipeline to the test data set, where applying the ML pipeline results in either generation of a test ML model from the test data set or indication of an error in the test data set; and delete the test data set from the memory. | 2020-07-23 |
20200234178 | DESIGN LEARNING: LEARNING DESIGN POLICIES BASED ON INTERACTIONS - Systems, methods, and articles of manufacture for learning design policies based on user interactions. One example includes determining a first task for an environment, receiving data from a plurality of data sources, determining a first time step associated with the received data, determining a plurality of candidate actions for the determined first time step, computing a respective probability value of each candidate action achieving the first task at the first time step based on a first machine learning (ML) model, determining that a first candidate action has a greater probability value for achieving the first task at the first time step relative to the remaining plurality of candidate actions, determining that the first candidate action has not been implemented in the environment at the first time step, and generating an indication specifying to implement the first candidate action as part of a policy to achieve the first task. | 2020-07-23 |
20200234179 | SYSTEM AND METHOD FOR CONTEXT-BASED TRAINING OF A MACHINE LEARNING MODEL - According to an embodiment of the present disclosure, a method of training a machine learning model is provided. Input data is received from at least one remote device. A classifier is evaluated by determining a classification accuracy of the input data. A training data matrix of the input data is applied to a selected context autoencoder of a knowledge bank of autoencoders including at least one context autoencoder and the training data matrix is determined to be out of context for the selected autoencoder. The training data matrix is applied to each other context autoencoder of the at least one autoencoder and the training data matrix is determined to be out of context for each other context autoencoder. A new context autoencoder is constructed. | 2020-07-23 |
20200234180 | COGNITIVE MACHINE LEARNING FOR SEMANTIC NETWORK - Methods, computer program products, and systems are presented. The methods include, for instance: generating a semantic network cell for a component of a semantic expression in a semantic network. The semantic network includes multiple semantic network cells. Each semantic network cell has attributes of a weight, an access count, and a latest time of access. A machine learning process reinforces the semantic network cell by access and deteriorates the semantic network cell over time based on semantic network cell weight rules, while the semantic network is servicing searches. | 2020-07-23 |
20200234181 | IMPLEMENTING TRAINING OF A MACHINE LEARNING MODEL FOR EMBODIED CONVERSATIONAL AGENT - A method, system and computer program product are provided for implementing enhanced training of a personality model for an embodied conversational agent. An adjustable personality model is provided for the conversational agent interacting with a user with the adjustable personality model configured to provide emotion and tone responses based on detected emotions of the user and a communication objective. Responsive to detecting a first emotion of the user in a conversation with the conversational agent, the adjustable personality model is utilized to embody the conversational agent with a first emotion and tone. Responsive to detecting a second emotion of the user different from the first emotion, the adjustable personality model is utilized to embody the conversational agent with a second emotion and tone possibly different from the first emotion and tone. | 2020-07-23 |
20200234182 | TRAINING A CUSTOMER SERVICE SYSTEM - A system for executing a code for training an insurance response system, comprising at least one hardware processor adapted to: using a plurality of insurance attribute values, extracted from a received insurance claim to retrieve: at least one inquiry related to the insurance claim and at least one inquiry result, and historical insurance data related to the insurance claim; computing a similarity value indicative of a difference between the at least one inquiry result and a claim result; identifying in the historical insurance data a plurality of insurance conditions relevant to the claim result and the at least one inquiry result; identifying at least one insurance condition effecting the similarity value by analyzing data comprising the at least one inquiry and the plurality of insurance conditions; and training a protocol model of an insurance response system using the at least one insurance condition and the at least one inquiry. | 2020-07-23 |
20200234183 | DATA TRANSFORMATIONS FOR ROBOTIC PROCESS AUTOMATION - An Artificial Intelligence (AI)-based data transformation system receives an input package and enables automatic execution of one or more processes in a robotic process automation system (RPA). The input package includes a plurality of documents and metadata required for the execution of the automated processes. The plurality of documents are categorized into a domain. Entities with their corresponding name-value pairs and entity relationships are extracted from the plurality of documents. An ontology is selected based on the domain. The entities are mapped to output fields identified from the selected ontology. The mappings thus generated are transmitted to the RPA system which employs the mappings to automatically execute the one or more processes. | 2020-07-23 |
20200234184 | ADVERSARIAL TREATMENT TO MACHINE LEARNING MODEL ADVERSARY - One embodiment provides a method, including: deploying a machine learning model, wherein the machine learning model is used in responding to queries from users; receiving, at the deployed machine learning model, input from at least one entity; determining that the at least one entity is an adversary attempting to retrain and/or steal the deployed machine learning model; and providing, in view of the determining that the at least one entity is an adversary, an altered response, wherein the altered response comprises at least one of: a response from a machine learning model other than the deployed machine learning model and a response from the deployed machine learning model altered with errors. | 2020-07-23 |
20200234185 | Data Processing System with Machine Learning Engine to Provide Output Generating Functions - Methods and apparatuses for identifying and executing one or more interactive condition evaluation tests and collecting and analyzing user behavior data to generate an output are provided. In some examples, user information may be received and one or more interactive condition evaluation tests may be identified. An instruction may be transmitted to a computing device of a user and executed on the computing device to enable functionality of one or more sensors that may be used in the identified tests. Upon initiating a test, data may be collected from the one or more sensors. The collected sensor data may be transmitted to the system and processed using one or more machine learning datasets. Additionally, user behavior data may be collected and processed using one or more machine learning datasets. The sensor data, the user behavior data, and other data may be used together to generate an output. | 2020-07-23 |
20200234186 | CLASSIFICATION APPARATUS, CLASSIFICATION METHOD, AND PROGRAM - A classification apparatus includes: an encoding module that includes an element classification part that extracts a feature of input data and outputs classification information based on an element classification model stored in a first storage unit; an integration module that includes an element estimation part that receives the classification information and converts the classification information to a collation vector based on an element estimation model stored in a second storage unit; and a determination module that includes a determination part that determines a group to which the collation vector belongs by collating the collation vector with a representative vector of an individual group stored as a semantic model in a third storage unit and outputs a group ID of the group as a classification result. | 2020-07-23 |
20200234187 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - To cause a user to more naturally and intuitively perceive learning progress regarding information presentation. Provided is an information processing apparatus including an output control unit configured to control an output of response information to a user, in which the output control unit controls output expression of the response information on the basis of learning progress of learning regarding generation of the response information. Furthermore, provided is an information processing method including, by a processor, controlling an output of response information to a user, the controlling further including controlling output expression of the response information on the basis of learning progress of learning regarding generation of the response information. | 2020-07-23 |
20200234188 | TECHNIQUES FOR TRAINING AND DEPLOYING A MODEL BASED FEATURE IN A SOFTWARE APPLICATION - Examples described herein generally relate to deploying, on multiple separate devices, an instance of an application having a baseline version of a model for executing in a real-world context, receiving, from each instance of the application, interaction data from the application based on using the model to perform inferences during execution of the instance of the application, and training, based on the interaction data, the model to generate a trained version of the model for performing subsequent inferences during execution of the application. | 2020-07-23 |
20200234189 | TRANSFER LEARNING METHOD, AND LEARNING APPARATUS, AND RECORDING MEDIUM - A transfer learning method executed by a computer, the method includes: selecting learning data that satisfies a constraint identified from target learning data and source learning data; and extracting the selected learning data among the source learning data as transfer data to be used as the target learning data. | 2020-07-23 |
20200234190 | IVA Performance Dashboard and Interactive Model and Method - Disclosed is a measure to collect and aggregate performance, sales, call center, custom KPI, and WA data in order to construct a model of correlations and causations between metrics to provide a means to measure associated costs of improving performance metrics for use in an interactive planning model. The interactive planning model allows for allocating budget across performance metrics, leveraging correlations and multiple cost models. The information is provided via a dashboard of IVA performance metrics and allows for comparison of real time IVA performance metrics to target metrics set by the IVA owner and incorporating KPIs provided by the WA owners. | 2020-07-23 |
20200234191 | TRAVEL MODEL GENERATION SYSTEM, VEHICLE IN TRAVEL MODEL GENERATION SYSTEM, AND PROCESSING METHOD - A travel model generation system dial generates a travel model of a vehicle on the basis of travel data of the vehicle, comprises: an obtainment unit configured to obtain the travel data from the vehicle; a filtering unit configured to exclude, from the travel data obtained by the obtainment unit, travel data to be excluded from learning; a generating unit configured to learn travel data from which the travel data to be excluded from the learning has been excluded by the filtering unit and generate a first travel model on the basis of a result of the learning; and a processing unit configured to process the travel data excluded from the learning in accordance with a condition associated with the travel data excluded from the learning. | 2020-07-23 |
20200234192 | TRAINING DISTILLED MACHINE LEARNING MODELS - Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a distilled machine learning model. One of the methods includes training a cumbersome machine learning model, wherein the cumbersome machine learning model is configured to receive an input and generate a respective score for each of a plurality of classes; and training a distilled machine learning model on a plurality of training inputs, wherein the distilled machine learning model is also configured to receive inputs and generate scores for the plurality of classes, comprising: processing each training input using the cumbersome machine learning model to generate a cumbersome target soft output for the training input; and training the distilled machine learning model to, for each of the training inputs, generate a soft output that matches the cumbersome target soft output for the training input. | 2020-07-23 |
20200234193 | CLOUD COMPUTING SCORING SYSTEMS AND METHODS - There is disclosed a computer-implemented cloud computing scoring system. In an embodiment, a parser receives unstructured sentiment data commenting on a scored service. The parser identifies in the unstructured sentiment data a service category of the scored service. The parser selects from the unstructured sentiment data text relating to the service category and matching one or more opinionative words and phrases listed in a keyword dictionary, thereby producing a structured comment associated with the service category. The structured comment is classified as positive or negative according to a list of exemplary sentiment data sets contained in a learning seed file. The exemplary sentiment data sets are manually assigned a positive or a negative polarity. The learning seed file is configured for enhancement by the ongoing addition of structured sentiment data, the structured sentiment data commenting on the scored service and having a polarity classification. | 2020-07-23 |
20200234194 | METHODS, SYSTEMS AND DEVICES FOR MONITORING AND CONTROLLING MEDIA CONTENT USING MACHINE LEARNING - Aspects of the subject disclosure may include, for example, embodiments that comprise provisioning a target user profile and obtaining viewing history data. Further embodiments include generating a group of control rules according to the target user profile and training a machine learning application according to the viewing history data and the group of control rules. Additional embodiments include receiving a first indication that a first media content is to be presented to a target user. Also, embodiments include determining by the machine learning application, that the first media content does not conform to the group of control rules and providing a first notification that the first media content does not conform to the group of control rules. Other embodiments are disclosed. | 2020-07-23 |
20200234195 | System and Method for Deploying and Versioning Machine Learning Models - Embodiments disclosed herein generally relate to a method and system for generating a container image. A computing system receives a request from a remote computer to provision a container comprising a machine learning model. The computing system generates a first API accessible by the remote computer. The computing system receives one or more parameters for the container via the API. The one or more parameters include a machine learning model type. The computing system retrieves from a library of a plurality of machine learning models a machine learning model corresponding to a type of model specified in the one or more parameters. The computing system generates a container image that includes the machine learning model. The computing system provisions a container based on the container image. | 2020-07-23 |
20200234196 | MACHINE LEARNING METHOD, COMPUTER-READABLE RECORDING MEDIUM, AND MACHINE LEARNING APPARATUS - A computer-implemented machine learning method of a machine learning model includes: performing first training of the machine learning model by using pieces of training data associated with a correct label; determining, from the pieces of training data, a set of pieces of training data that are close to each other in a feature space based on a core tensor generated by the trained machine learning model and have a same correct label; generating extended training data based on the determined set of pieces of training data; and performing second training of the trained machine learning model by using the generated extended training data. | 2020-07-23 |
20200234197 | DETERMINANTAL REINFORCED LEARNING IN ARTIFICIAL INTELLIGENCE - Methods and systems for selecting and performing group actions include selecting parameters for an approximated action-value function, which determines a reward value associated with a particular group action taken from a particular state, using a determinant of a parameter matrix for the action-value function. A group action is selected using the approximated action-value function and the selected parameters. Agents are triggered to perform respective tasks in the group action. | 2020-07-23 |
20200234198 | MACHINE LEARNING TRAINING METHOD, CONTROLLER, DEVICE, SERVER, TERMINAL AND MEDIUM - Embodiments of the present disclosure disclose a machine learning training method and a server. The method includes: acquiring training data uploaded by the terminal; creating a trusted execution environment in response to a machine learning training request from the terminal; and performing machine learning training based on the trusted execution environment and the training data. | 2020-07-23 |
20200234199 | Advanced Ensemble Learning Strategy Based Semi-supervised Soft Sensing Method - The present disclosure provides a novel advanced ensemble learning strategy for soft sensor development with semi-supervised model. The main target of the soft sensor is to improve the prediction performance with a limited number of labeled data samples, under the ensemble learning framework. Firstly, in order to improve the prediction accuracy of sub-models for ensemble modeling, a novel sample selection mechanism is established to select the most significantly estimated data samples. Secondly, the Bagging method is employed to both of the labeled and selected data-set, and the two different kinds of datasets are matched based on the Dissimilarity (DISSIM) algorithm. As a result, the proposed method guarantees the diversity and accuracy of the sub-models which are two significant issues of the ensemble learning. In this work, the soft sensor is constructed upon the Gaussian Process Regression (GPR) model. | 2020-07-23 |
20200234200 | SYSTEM TO FACILITATE PREDICTIVE ANALYTIC ALGORITHM DEPLOYMENT IN AN ENTERPRISE - According to some embodiments, an analytics computing environment data store may contain a set of electronic data records, each electronic data record being associated with a predictive analytic algorithm and including an algorithm identifier and a set of algorithm characteristic values. An analytics environment computer may receive an adjustment from a user associated with an enterprise, the adjustment changing at least one of the set of algorithm characteristic values for a predictive analytic algorithm. Deployment of the predictive analytic algorithm may then be initiated in an enterprise operations workflow and at least one result may be generated. The deployed predictive analytic algorithm may then monitor the result and generate an alert signal when the result exceeds a boundary condition. | 2020-07-23 |
20200234201 | ENVIRONMENTAL PREFERENCE BASED SEAT EXCHANGE PLATFORM - A method of recommending a seat to a first user is provided. The method comprising: receiving environmental parameter preferences from a first user device; receiving environmental parameters for one or more seat locations, the one or more seat locations including a first seat location and a second seat location; determining one or more seat location recommendations in response to the environmental parameter preferences and the environmental parameters, the one or more seat location recommendations including a first seat location recommendation identifying the second seat location; and transmitting the one or more seat location recommendations to the first user device. | 2020-07-23 |
20200234202 | LEARNING POWER GRID CHARACTERISTICS TO ANTICIPATE LOAD - Improving the operations of a computer system that is located within a power grid and that is associated with its own power sources. Past operational characteristics of the power grid are analyzed to derive learned characteristics for the power grid. Future operational characteristics of the power grid are also monitored. A prediction regarding a future load event associated with the power grid is then generated using the learned characteristics and the monitored characteristics. In response to this prediction, one or more operations are performed to balance the computer system with the power grid during the future load event, and to ensure a determined availability of services associated with the computer system during the future load event. | 2020-07-23 |
20200234203 | METHOD FOR COMPUTING AT LEAST ONE ITINERARY FROM A DEPARTURE LOCATION TO AN ARRIVAL LOCATION - A method and system generate at least one itinerary from a departure location to an arrival location, each itinerary having a beginning part from the departure location to an initial station of a multimodal transportation network of predetermined stations, a main part in the multimodal transportation network, defined as a sequence of displacements each from a station of the multimodal transportation network to another, and an end part from a final station of the multimodal transportation network to the arrival location. | 2020-07-23 |
20200234204 | SYSTEM AND METHOD FOR CONSTRUCTION ESTIMATING - A network based server system is provided that facilitates collaboration by a plurality of users to prepare a construction project estimate in accordance with an established workflow and assigned tasks that are carried out by the plurality of users that collaborate to prepare the construction project estimate. The established workflow may include various interdependent tasks and the construction project estimate is updated in real time based on current material and labor costs obtained from a local database or from a third party application device that provides real time material cost information. | 2020-07-23 |
20200234205 | METHOD AND SYSTEM FOR GENERATING AND MODIFYING ELECTRONIC ORGANIZATIONAL CHARTS - A method for generating an electronic organizational chart for an organization, comprising: receiving information from a data source relating to the organization; using the information, selecting a template for the organization chart from a template store, wherein the template represents a type of organization; populating the template with the information to generate the electronic organizational chart; and, presenting the electronic organizational chart on a display. | 2020-07-23 |
20200234206 | System and Methods for Assessing and Analyzing Security Risk of a Physical Infrastructure - A method for assessing and analyzing a security risk of one or more assets within physical infrastructure. The method comprises of analyzing each and every security asset of the infrastructure; calculating an IKE score for each asset based on certain pre-defined criteria; determining the security risk of one or more of the assets based on the IKE score; performing a gap analysis to minimize the risk of one or more of the assets; and presenting the gap analysis and analyzed results to an owner of the infrastructure. | 2020-07-23 |
20200234207 | MANAGEMENT SUPPORT SYSTEM AND METHOD - Provided is a technique that enables a measure for guiding a target from a base state to a target state to be determined without having a human being define a target and a state transition opportunity. A management support system performs a transition opportunity calculation process that is a process including calculating one or a plurality of state transition opportunities from a base state to a target state with respect to M-number of targets (where M is a natural number such that M 2) on the basis of management data including data related to histories of the M-number of targets, and outputs output information including information related to the one or a plurality of state transition opportunities calculated in the transition opportunity calculation process. | 2020-07-23 |
20200234208 | WORKFORCE SENTIMENT MONITORING AND DETECTION SYSTEMS AND METHODS - Exemplary implementations may provide a workforce sentiment and structure descriptions. A survey management tool can solicit and retrieve ratings data from employees via a survey. The received ratings can be aggregated and scaled according to employee ratings to identify and adjust for the impact of influential employees. An organizational chart may be updated based on the survey results and users may navigate the updated organizational chart to review employee ratings. | 2020-07-23 |
20200234209 | METHOD AND SYSTEM FOR ADAPTIVELY SWITCHING PREDICTION STRATEGIES OPTIMIZING TIME-VARIANT ENERGY CONSUMPTION OF BUILT ENVIRONMENT - A computer-implemented method and system is provided. The system adaptively switches prediction strategies to optimize time-variant energy demand and consumption of built environments associated with renewable energy sources. The system analyzes a first, second, third, fourth and a fifth set of statistical data. The system derives of a set of prediction strategies for controlled and directional execution of analysis and evaluation of a set of predictions for optimum usage and operation of the plurality of energy consuming devices. The system monitors a set of factors corresponding to the set of prediction strategies and switches a prediction strategy from the set of derived prediction strategies. The system predicts a set of predictions for identification of a potential future time-variant energy demand and consumption and predicts a set of predictions. The system manipulates an operational state of the plurality of energy consuming devices and the plurality of energy storage and supply means. | 2020-07-23 |
20200234210 | Systems and Methods for Auditing an IT Environment - A system for auditing an enterprise IT environment, including: a multi-tier hierarchy generator configured to generate a multi-tier hierarchy, between and within each tier, maps the enterprise IT environment across a plurality of software applications of different types via which the IT environment is implemented; and an auditing unit configured to check IT environment requirements against the IT environment based on the multi-tier hierarchy. | 2020-07-23 |
20200234211 | METHODS AND SYSTEMS TO OPTIMIZE OPERATING SYSTEM LICENSE COSTS IN A VIRTUAL DATA CENTER - Methods and systems assist data center customer to plan virtual data center (“VDC”) configurations, create purchase recommendations to achieve either an expansion or contraction of a VDC, and optimize the data center cost. Methods generate recommendations on lower cost combinations of virtual machine (“VM”) guest OS licenses, server computer hardware and VM software to optimize the costs are generated, generate data center customer plans for additional VMs with guest OS for a projected period of time, provide recommendations on lower cost combination of guest OS licenses, server hardware, and VM software to optimize the cost. Methods also report any underutilized licensed servers and provide recommendations for cost savings when volume licenses can be replaced by instance based software licenses. Methods may generate VM placement recommendations to data center customers while the customers attempt to manually migrate VMs to different server computers. | 2020-07-23 |
20200234212 | ENTERPRISE DATA MINING SYSTEMS - Suggesting an optimal set of actions includes receiving an incident notification and an indication of a first agent for the incident notification from a remote device, determining an assigned agent for the incident notification and a first incident type associated with the incident notification, determining an agent role for the first agent, selecting an optimal set of actions based on the first incident type and the agent role, wherein the optimal set of actions are selected from a subset of historic recorded agent interactions from a plurality of records associated with the incident type, and provide for presentation the optimal set of actions to the first agent. | 2020-07-23 |
20200234213 | METHOD AND SYSTEM FOR IMPLEMENTING AN ADAPTIVE DATA GOVERNANCE SYSTEM - Disclosed is a method, system, and computer program product for implementing adaptive business workflows, where the context is coordinated with a hierarchy. The adaptive workflow may include conditional stages that are also coordinated with the hierarchy. | 2020-07-23 |
20200234214 | INFORMATION PROCESSING SYSTEM - The present invention makes it possible for a person (a sender or a third party) that is not on a production side or a distribution side to form a distribution plan. According to the present invention, a received-order-information acquisition unit 61 acquires sender S side received-order information. (information on an order from a customer C or information on an order placed to a vendor V (a production/supply source)) from a sender terminal 3 or a vendor terminal 4 via a communication unit 19. A received-order-to-distribution conversion unit 62 converts the acquired received-order information into distribution information. (information on arrival from the vendor V (the production/supply source), information on shipping to the customer C). A parameter acquisition unit 63 acquires, from a parameter DB 71, parameters that include at least deadline, cost, and quality (accident rate). A distribution-plan generation unit 64 generates a distribution plan (when, where, who) on the basis of the distribution information as converted by the received-order-to-distribution conversion unit 62 and the parameters acquired by the parameter acquisition unit 63. | 2020-07-23 |
20200234215 | Systems and Methods for Administering an Extraction Rights Market in a Groundwater Basin - A water agency management platform provides an exchange for administering groundwater extraction rights in one or more trading-zones. The platform matches offers to trade utilization of groundwater extraction rights (GWRs), and intermediates transfers of the matched GWRs based one or more transfer rules. | 2020-07-23 |
20200234216 | BUSINESS INSIGHT GENERATION SYSTEM - A method, apparatus, and computer program product for digitally presenting statistically-relevant business insights into a set of business metrics for an organization. A computer system identifies a set of organizational characteristics from human resources data of employees of a plurality of organizations, and applies a selected inclusion criteria to the set of organizational characteristics to identify a set of candidate organizations. The computer system identifies a set of benchmark organizations from the set of candidate organizations, and creates a fixed panel of the benchmark organizations. The computer system applies the fixed panel to the human resources data of employees of a plurality of organizations to create an analysis dataset that consists of human resources data of employees of the benchmark organizations. The computer system generates a business insight into the set of business metrics of the organization based on the analysis dataset, and digitally presents the business insight. | 2020-07-23 |
20200234217 | OPERATIONS AUGMENTED ENTERPRISE COLLABORATIVE RECOMMENDER ENGINE - Providing enterprise recommendations includes determining a change of a maturity score of an enterprise architecture assessment domain model associated with an enterprise architecture. The change of the maturity score is indicative of a change of a maturity state of the enterprise architecture assessment domain model. One or more maturity model types that exceed a predetermined degree of change are determined, and at least one assessment capability group for each maturity model type is determined. One or more assessment capabilities are selected for each assessment capability group based on one or more selection criteria. One or more recommendation templates are selected for each selected assessment capability based upon one or more template selection rules. A first set of recommendations are compiled based on the selected recommendation templates, and the first set of recommendations are output. | 2020-07-23 |
20200234218 | SYSTEMS AND METHODS FOR ENTITY PERFORMANCE AND RISK SCORING - A method for data aggregation includes identifying one or more universal data elements. The method further includes receiving profile information for an entity, the entity being associated with the one or more universal data elements. The method further includes receiving commercial activity information and documentation information associated with the entity. The method further includes identifying, validating and generating an Ultimate Data Quality (UDQ) using the one or more universal data elements, the profile information, the commercial activity information, and the documentation information. The method further includes generating performance attribute metrics associated with the entity based on the UDQ and one or more performance factors associated with the entity. The method further includes generating an overall performance score for the entity using the performance attribute metrics. | 2020-07-23 |
20200234219 | DISPOSITION OPTIMIZATION SYSTEM AND DISPOSITION OPTIMIZING METHOD - A DB server | 2020-07-23 |
20200234220 | SMART BUILDING AUTOMATION SYSTEM WITH EMPLOYEE PRODUCTIVITY FEATURES - A method, including implementing a software agent to traverse a graph data structure to extract financial information associated with operation of a space, retrieving, by further traversing the graph data structure using the software agent, context information associated with the space, the context information including time spent by employees in the space, generating, using the software agent, a metric associated with the employees of the space, wherein the metric includes a representation of efficiency based on the financial information and the context information, comparing, by the software agent, the metric to historical information, and transmitting a report to a computing device, wherein the report is based on the comparison. | 2020-07-23 |
20200234221 | IMPLEMENTING INDIVIDUAL CUSTOMIZED TASK PRIORIZATION BASED ON REAL-TIME CONTEXT - A method and computer system are provided for implementing individual customized task prioritization based on real-time context. A list of a plurality of tasks to be completed by a user based on a criteria is received. The list of a plurality of tasks is analyzed to determine ordering of the list of the plurality of tasks. A user's context is determined from user information received from predefined sensors, and prioritization of the plurality of tasks of the list is determined. The ordering of the plurality of tasks is identified by applying the current user's context and the criteria and the ordering identifies a current task to start. | 2020-07-23 |
20200234222 | Systems and Methods for Providing an Interactive Visualization of an Enterprise IT Environment - A system for providing a graphical user interface, including: a multi-tier hierarchy, stored in a database, which maps links between and among a plurality of tiers of an enterprise IT environment; and a dashboard that provides a user-interactive visualization of the enterprise IT environment based on the multi-tier hierarchy. | 2020-07-23 |
20200234223 | Technician Timer - An example method includes receiving a first service procedure for servicing a vehicle, determining an expected pace of performance of the first service procedure, receiving at least one input signal during performance of the first service procedure, determining, based on the at least one input signal, a current pace of performance of the first service procedure, and providing for display of a first pace indicator on a display interface of the computing device, where the first pace indicator is representative of the current pace of performance of the first service procedure relative to the expected pace of performance of the first service procedure. | 2020-07-23 |
20200234224 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - An information processing device according to one embodiment of the present disclosure includes a fatigue level estimation unit configured to estimate a fatigue level of a user based on schedules for the future included in information on schedules of the user. | 2020-07-23 |
20200234225 | PLAN REGISTRATION APPARATUS, PLAN REGISTRATION METHOD, AND RECORDING MEDIUM - A plan registration apparatus includes a processor configured to execute plan registration processing of registering a plan to predetermined plan information on the basis of input information representing the plan, including settings related to participants selected from a plurality of persons to be managed, time zones, and establishment conditions, in which the plan registration processing performs, at registration of plans to the plan information, finalized registration as an established plan in a case where the establishment conditions for the plan are satisfied, and performs provisional registration as a provisional plan before establishment in a case where the establishment conditions of the plan are not satisfied, and cancels the provisional registration and performs the finalized registration for the plan in a case where the establishment conditions for the plan are satisfied after execution of the provisional registration of the plan. | 2020-07-23 |
20200234226 | SYSTEM FOR MANAGEMENT BY OBJECTIVES, SERVER FOR MANAGEMENT BY OBJECTIVES, PROGRAM FOR MANAGEMENT BY OBJECTIVES, AND TERMINAL DEVICE FOR MANAGEMENT BY OBJECTIVES - A storage unit stores a value indicating a change in a value for a body with respect to an action in type or amount and uses the value stored therein and indicating the change to predict a value indicating a change in a value for the body of a user for each action of the user, and presents the value indicating the change as predicted. A value indicating a change arising when a prescribed action is performed and a value indicating a change arising when the prescribed action is not performed are predicted. The storage unit stores a value indicating how the value for the body of the user changes with respect to the user's action in type or amount. The storage unit stores values indicating how values for bodies of a plurality of people change with respect to actions of the plurality of people in type or amount. | 2020-07-23 |
20200234227 | Camera-Implemented Article Layout Control Method For Shelves Equipped With Electronic Shelf Labels - In a sales area, a method for checking the layout of articles in a gondola, the gondola comprising at least one electronic shelf label which corresponds to a matching area of a gondola, with a single product slot field comprising a gondola number, a row number and a shelf label number, the method comprising steps of: acquisition of an image of the gondola; automated detection of electronic shelf labels, and automated detection of rows; for at least one electronic shelf label, determination of the matching area of the gondola, and determination of the slot field; detection of layout information in said area of the gondola in the acquired image; identification of the associated article identifier in a realogram database; and check of compliance of detected layout information, with respect to expected layout information stored in the realogram database. | 2020-07-23 |
20200234228 | METHOD - A set of gas turbine engine components comprises N gas turbine engine components. Each gas turbine engine component has a respective flow value. A method for selecting the N gas turbine engine components includes ordering the gas turbine engine components in dependence upon their respective flow value. For each ordered group of components a maximum range is determined for the respective flow values. If this maximum range is less than a pre-determined range limit then the ordered group becomes a set. If this criteria is not met then another component is added to the group, the group is reordered by flow value and the range check is repeated with allowable groups forming selected sets and further components being added as required. | 2020-07-23 |
20200234229 | SYSTEM AND METHOD FOR ITEM TRACKING - Systems and methods for tracking items. A system for tracking an item is configured to scan the item for a computer readable code and convert the computer readable code into a digital identifier associated with the item. The system includes a controller circuit configured to receive authentication information from the mobile computing device, receive a request from the mobile computing device, comprising the digital identifier and a request for information relating to the item. When the memory has the information, the controller circuit obtains the information from the memory and generates an output comprising the digital identifier and the information for display. The output is based on a comparison of a location of the mobile computing device and an expected location of the item. | 2020-07-23 |
20200234230 | PHOTO-BASED INVENTORY SYSTEM AND METHOD OF USE - A photo-based inventory system includes a computing device with a camera, an inventory management platform accessible via the computing device, a plurality of inventory products, a plurality of images and videos associated with the inventory products, and an inventory log. The inventory management platform captures information about each of the inventory products based on the images and videos captured and stores the information in the inventory log. | 2020-07-23 |
20200234231 | METHODS AND SYSTEMS FOR UNDERWATER GEAR TRACKING - A method for underwater gear tracking includes receiving, by a reporting device on a vessel, from a tag associated with an item, a signal indicating the item is on the vessel. The method includes determining, by the reporting device, that the item is not on the vessel. The method includes recording, by the reporting device, information associated with the environment of the vessel at a time the reporting device determines that the item is not on the vessel, without input from an operator of the vessel. The method includes recording, by the reporting device, information associated with the environment of the vessel at a time the reporting device determines that the item is not on the vessel, without input from an operator of the vessel. The method includes providing, by the reporting device, the recorded information to a computing device. | 2020-07-23 |
20200234232 | SYSTEM AND METHOD FOR PROVIDING REAL-TIME TRACKING OF ITEMS IN A DISTRIBUTION NETWORK - Systems and methods of processing items. Items in a distribution network or process may be scanned at every handling point in the distribution network, and each scan is recorded in a central repository. The scan information can be used to generate real-time access to data, analytical tools, predictive tools, and tracking reports. | 2020-07-23 |
20200234233 | SYSTEMS AND METHODS FOR CLASSIFYING GLOBAL EXPORTS - The present disclosure is directed towards systems and methods for classifying global imports and exports, which comprises receiving one or more product data items each associated with a product for global export or import and selecting one product data item from the one or more product data item associated with products for global export and import. The selected product data item are compared to a set of country export control lists using machine leaning. The disclosed systems and methods further comprise identifying one or more country export control number that are a potential match to the selected product data item based on said comparison, scoring each of the one or more country export control numbers and presenting each of the scored export control numbers on a graphical user interface for selection at an access device. | 2020-07-23 |
20200234234 | INFORMATION PROCESSING DEVICE - When a moving body is to receive a new, additional article for transport, the present invention makes it possible for the new, additional article to be received for transport with consideration given not only to restrictions on the weight that can be transported by the moving body but also to restrictions on driver compliance. According to the present invention, a present-situation-information acquisition unit | 2020-07-23 |
20200234235 | DISTRIBUTION AND DELIVERIES THROUGH AUTOMATIC DRIVER SELECTION BASED ON PATTERNS - A method, system and computer program product related to delivery of packages to online shopping customers. In an embodiment, the invention provides a method comprising identifying a pool of candidate delivery drivers; analyzing driving patterns of the candidate drivers in a geographic area; analyzing activities of specified online shoppers in the geographic area; and sending a message to contact one of the candidate drivers to deliver a package or packages to an online shopper based on a defined matching of the analyzed driving patterns of the candidate drivers with the analyzed activities of the online shoppers. In an embodiment, each of the candidate drivers has an associated mobile communications device; and the analyzing driving patterns of the candidate drivers includes using specified changes in locations of the mobile communication devices associated with the candidate delivery drivers to identify the driving patterns of the candidate drivers. | 2020-07-23 |
20200234236 | METHODS AND SYSTEMS FOR LINKING SPECIFIC INFORMATION TO INDIVIDUAL PRODUCT UNITS - The method linking information in a database to a specific product unit in a production run and making this information available to a user comprises the steps of providing each product unit with a unique identifier tag, providing a database having units of information and image information of each unique identifier tag; linking at least one of said units of information to each of said unique identifier tags; and providing a user with a reader being able to read said unique identifier tag. The reader reads said unique identifier tag as image information and said request system compares said unique identifier tag image information from said reader with said said unique identifier tag image information stored in the database to retrieve said at least one unit of information linked to said unique identifier tag and provides said information linked to said unique identifier tag to said user. | 2020-07-23 |
20200234237 | INSTRUCTION ISSUING SYSTEM, INSTRUCTION ISSUING METHOD, AND PROGRAM - To provide labo slip ordering system, labo slip ordering method, and a program by which labo slips for dental laboratories can be accurately and easily ordered and efficient and low-cost orders can be realized. The labo slip ordering system includes a dental clinic interface unit that includes a dental technical product list display part for selecting a dental technical product and an ordering part that orders a labo slip for producing the dental technical product which is selected from the dental technical product list display part. The dental clinic interface unit further includes an other-name list in which a standard name of the dental technical product is associated with another name of the dental technical product. The dental technical product list display part enables the dental technical product to be selected depending on either the standard name or the other name. | 2020-07-23 |
20200234238 | INFORMATION PROCESSING APPARATUS, METHOD OF INFORMATION PROCESSING, AND PROGRAM - An information processing apparatus includes a control unit configured to execute: acquiring information regarding a request of a user making a product while riding on a mobile object; acquiring information regarding an article used in making the product; acquiring information regarding a location of the article; and generating an operation command of the mobile object such that the mobile object carrying the user travels via the location of the article. | 2020-07-23 |
20200234239 | CROSS-DOCK MANAGEMENT SYSTEM, METHOD AND APPARATUS - Disclosed herein is a cross-dock management system comprises: a plurality of movable platforms configured to hold one or more pallets or parcels; at least one barcode or RFID tag positioned on each of said movable platforms, pallets, or parcels, wherein the barcode readers are configured to read the barcodes and RFID readers are configured to read the RFID tags. The data scanned by the barcode readers and RFID readers is stored in a local warehouse database and is used to determine an optimized placement and load for each movable platform in the warehouse. | 2020-07-23 |
20200234240 | BOOK INFORMATION COLLABORATION SYSTEM AND METHOD - The present invention discloses a book information collaboration system and method, which can improve the efficiency of information exchange among readers of a same book and be advantageous for the readers to enhance the understanding of the book in a collaborative manner. The technical solutions are as follows: an open collaboration group is generated when a certain book is created for the first time, and a default entry structure using this book as a root entry is also generated. The entry structure involves various contents such as book publication information, book content reconstruction and reader comments. A user who searches, reads or attempts to recreate this book subsequently will be automatically added in this collaboration group. Only members in the collaboration group can edit the entry structure. The updated entry structure is displayed in real time to the members in the collaboration group. | 2020-07-23 |
20200234241 | Systems and Methods for Automated SDLC, Portfolio, Program and Project Management - A system for enterprise-level software project management includes a system inventory database coupled to one or more enterprise IT systems configured for enterprise-level software development. The system also includes a project builder configured to build an enterprise-level software development project based on received user intent data and IT environment data retrieved from the system inventory database. The software development projects includes a multi-tier hierarchy that provides hierarchal linking between a plurality of project tiers of the software development project. The system also includes a project management engine configured to enable a user to manage the software development project via an interactive dashboard. Management of the software development project is based on the multi-tier hierarchy. | 2020-07-23 |
20200234242 | FINITE STATE MACHINES FOR IMPLEMENTING WORKFLOWS FOR DATA OBJECTS MANAGED BY A DATA PROCESSING SYSTEM - Techniques for using finite state machines (FSMs) to implement workflows in a data processing system comprising at least one data store storing data objects and a workflow management system (WMS). The WMS is configured to perform: determining a current value of an attribute of a first data object by accessing the current value in the at least one data store; identifying, using the current value and metadata specifying relationships among at least some of the data objects, an actor authorized to perform a workflow task for the first data object; generating a GUI through which the actor can provide the input that the workflow task is to be performed; and in response to receiving, from the actor and through the GUI, input specifying that the workflow task is to be performed: performing the workflow task; and updating the current workflow state of the first FSM to a second workflow state. | 2020-07-23 |
20200234243 | Anti-Cyberbullying Systems and Methods - Some embodiments use text and/or image processing methods to determine whether a user of an electronic messaging platform is subject to an online threat such as cyberbullying, sexual grooming, and identity theft, among others. In some embodiments, a text content of electronic messages is automatically harvested and aggregated into conversations. Conversation data are then analyzed to extract various threat indicators. A result of a text analysis may be combined with a result of an analysis of an image transmitted as part of the respective conversation. When a threat is detected, some embodiments automatically send a notification to a third party (e.g., parent, teacher, etc.) | 2020-07-23 |
20200234244 | PROVIDING LIMITED PERMISSION LEVEL FUNCTIONALITY FOR LISTINGS IN A NETWORK - Disclosed are systems, methods, and non-transitory computer-readable media for providing profiles with limited permission level functionality in the network. In response to receiving a request to post the new employment listing, a collaboration system updates a permission list of the employment listing to provide a first user account with an administrator permission level in relation to the employment listing. The administrator permission level provides a first function and a second function in relation to the employment listing. The collaboration system receives a request to tag a second user account to the employment listing and updates the permission list to provide the second user account with a limited permission level in relation to the employment listing. The limited permission level provides the second user account with permission to perform the first function in relation to the employment listing but does not provide permission to perform the second function. | 2020-07-23 |
20200234245 | Systems and Methods for Benefit Plan Management - A system for providing end-to-end traceable benefit plans. An intake engine is configured to generate, from input source data, a plurality of benefit plan components having one or more cross-dependencies with respect to each other, wherein the benefit plan components include: data structures reflecting benefit plan aspects and associated rules for implementation with respect to the benefit plan. An assembly module is configured to assemble a benefit plan file from the benefit plan components, the benefit plan file associating benefit components with and across workflows and systems. A claims processing IT environment is configured to load the benefit plan file, and to process claims in accordance with the benefit plan file. | 2020-07-23 |
20200234246 | Systems and Methods for Benefit Plan Management in Accordance with Captured User Intent - A system for providing end-to-end traceable benefit plans includes an intake engine configured to generate, from input source data, a plurality of benefit plan components having one or more cross-dependencies with respect to each other, wherein the benefit plan components include: data structures reflecting benefit plan aspects and associated rules for implementation with respect to the benefit plan. The system includes an intake dashboard configured to intake the input source data provided by a user via the intake dashboard, the input source data capturing user intent with respect to benefit plan design and/or configuration. The system includes an extractor configured to extract the input source data from source systems, and an assembly module configured to assemble a benefit plan file from the benefit plan components, the benefit plan file associating benefit components with and across workflows and systems. The system includes a claims processing IT environment configured to load the benefit plan file, and to process claims in accordance with the benefit plan file. | 2020-07-23 |
20200234247 | Patrol Tracking System - A patrol tracking system is disclosed, comprising an NFC carrier, a handheld device and a cloud server equipment, wherein the NFC carrier can be placed at a patrol location such that an administrator can scan the NFC carrier by means of the control unit of the handheld device, accordingly establish an NFC device setup file, and then upload it to the cloud server equipment; afterwards, when a patroller arrives at the patrol location, it is possible to use the handheld device to scan the NFC carrier, and, upon completing the scanning operation, create a patrol record file including relevant GPS coordinates, and then upload it to the cloud server equipment such that the back-end administrator can exactly manage and control the actual patrol location of the patroller thereby achieving the purpose of precise and credible patrol inspections. | 2020-07-23 |
20200234248 | TECHNOLOGY APPLYING A DEPENDENCY GRAPH TO GENERATE AN UPDATED TEACHING PLAN BASED ON UNEXPECTED EVENTS - Methods and systems may provide for technology to calculate an amount of time that it will take to teach a topic based on input data that defines a schedule, compute an updated amount of time that it will take to teach the topic based on information related to an unexpected event and dependent concepts related to the topic, automatically calculate a possible time period in which concepts can be taught before an occurrence of the unexpected event; determine whether concepts are coverable in the calculated time period, and automatically reorganize the schedule based on the updated amount of time that it will take to teach the topic and the calculated time period before the occurrence of the unexpected event. | 2020-07-23 |
20200234249 | VEHICLE SCHEDULE ASSISTANT - A system includes a transceiver and a processor. The processor is programmed to receive, using the transceiver, information from a vehicle indicative of vehicle status and from a cloud service indicative of a user schedule, and responsive to occurrence of a predefined trigger event determined according to the information, identify a responsive action to update the user schedule corresponding to the trigger event and notify a user of the action in accordance with a degree of freedom setting. | 2020-07-23 |
20200234250 | TECHNIQUES TO IMPROVE A SCHEDULE WITH OPTIMIZATION - Techniques to improve a schedule using optimization are described. Some described techniques improve the schedule using optimization upon a user's travel booking operation and/or in response to changes in the user's relationships. The techniques include an apparatus, a method, and a computer-readable medium configured to process relationship data associated with potential candidates for a set of meetings in a schedule, relationship data corresponding to interaction indicia with each potential candidate, generate, from the relationship data, a connectivity network comprising links with the potential candidates, each link of the links corresponding to a relevance value between a user and a specific potential candidate, and populate, via an optimization unit, open meeting spaces in the schedule with meeting data based upon the connectivity network and availability data of the potential candidates, the schedule being configured to substantially maximize relevancy of the set of meetings. Other embodiments are described and claimed. | 2020-07-23 |
20200234251 | CONFERENCE ROOM MANAGEMENT SYSTEM - One or more non-transitory computer-readable storage media having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive a request to hold a meeting in a building, retrieve user preferences associated with an attendee of the meeting, dynamically determine meeting parameters associated with the meeting based on the request and the user preferences, identify one or more meeting parameters that deviate from the request or the user preferences, and transmit a notification indicating the identified one or more meeting parameters. | 2020-07-23 |