334results about "Informatics" patented technology

Provided herein is an AI-based energy edge platform with a wide range of features, components, and capabilities for managing and improving traditional infrastructure and coordinating with a distributed system to support important use cases for a series of enterprises. The platform may employ emerging technologies to improve the efficiency, flexibility, participation and profitability of an ecosystem and a single energy edge node. Embodiments may predict, plan, and manage energy demand and utilization in a larger distributed environment. Embodiments may use AI, IoT, and techniques to more efficiently filter, process, and move data across communication networks. Embodiments of the platform may utilize an energy market connection, communication, and transaction support platform. Embodiments may employ intelligent provisioning, data summarization, and analysis.

Provided is a turbulent flow simulation method in which a computer uses a large-eddy simulation to analyze a flow field of a fluid, the method comprising: acquiring a simulation condition (S10); performing, on the basis of the acquired simulation condition, analysis of the flow field of the fluid by means of the large-eddy simulation (S20); and outputting an analysis result of the flow field of the fluid (S30). In the analysis of the flow field of the fluid, a turbulent flow model that includes an error term of a Navier-Stokes equation derived from a lattice Boltzmann equation as a correction term associated with coarse graining in the large-eddy simulation is used, the correction term being a body force calculated from eddy stress associated with the coarse graining.

Provided are a method, apparatus, electronic device, and storage medium for monitoring a nitrogen demand of a fruit tree. The method includes acquiring plant input parameters of a fruit tree to be monitored, where the plant input parameters at least include a phenological development accumulated temperature parameter, a green leaf parameter, a photosynthesis parameter, a respiration parameter, a dry matter accumulation parameter, a partitioning parameter, and a nitrogen transport parameter. A target monitoring model is constructed, where the target monitoring model is a WOrld FOod Studies (WOFOST) model integrating nitrogen monitoring. The plant input parameters of the fruit tree to be monitored are input into the target monitoring model to obtain a nitrogen demand of the fruit tree to be monitored that is output by the target monitoring model.

The system according to this embodiment aims to allow users to easily simulate hairstyles they want to try. [Solution] The system according to the embodiment comprises a reception unit, a generation unit, and a provision unit. The reception unit receives a user's photograph and an image of the hairstyle the user wants to try. The generation unit synthesizes the desired hairstyle onto the user's facial photograph based on the information received by the reception unit. The provision unit provides the image generated by the generation unit.

To provide an information processing method that can efficiently compute a response value on a characteristic or behavior of a simulation object model using a plurality of computation cores.SOLUTION: An information processing method, which computes a response value on a characteristic or behavior of a simulation object model to be defined by a plurality of parameters, is configured to: assign computation processing of calculating respective response values of a plurality of simulation object models having a different parameter set by a first computation method to a plurality of computation cores respectively to implement the computation processing; determine whether to end the computation processing in each computation core on the basis of a time of the ongoing computation processing in the plurality of computation cores; when determining to end the computation processing, end the computation processing; and assign computation processing of calculating a response value of the simulation object model having the computation processing ended by a second computation method to the computation core having the computation processing by the first computation method ended to implement the computation processing.SELECTED DRAWING: Figure 6

To perform presence confirmation of analysis data used by an analysis device before analysis.SOLUTION: A data output device, which includes a processor for executing a program and a storage device for storing the program, is communicably connected to a data source for storing first time-series data regarding a natural environment and an analysis device for inputting analysis target data from the data output device to execute analysis regarding the natural environment, and includes a recording section capable of recording the analysis target data. The processor executes: input processing of receiving an input of an analysis condition regarding the natural environment; first determination processing of determining whether first analysis target data corresponding to the analysis condition input by the input processing is present in the recording section; and first output processing of outputting the first analysis target data to the analysis device on the basis of a first determination result by the first determination processing.SELECTED DRAWING: Figure 3

To provide a simulation device that can highly accurately perform an analysis of a flowing field including areas mutually separated by a wall, using a particle method.SOLUTION: A simulation condition is input to an input unit. A processing unit is configured to: represent a fluid body by a plurality of calculation particles on the basis of the simulation condition; numerically solve a dominant equation about each of the plurality of calculation particles; and subject a position and physical quantity of the plurality of calculation particles to a time evolution. Upon solving the dominant equation, other calculation particle arranged apart from a wall surface is excluded with respect to the calculation particle of interest. Information indicative of the shortest distance vector is calculated, which is defined by a length and direction of the shortest route to respective positions of the plurality of calculation particles from the wall surface. Using respective position vectors of two calculation particles, and the shortest distance vector with respect to each of the two calculation particles, a determination is made as to whether the two calculation particles are arranged mutually apart from the wall surface.SELECTED DRAWING: Figure 4

To provide a technique capable of constructing a simulation model from limited information, executing a calculation, and obtaining a result even when a structure, dimension, physical property or the like being information required to execute a simulation is insufficient.SOLUTION: A simulation device 1 is a device that constructs a model and performs a simulation using the model, and includes a processor and a storage device. The storage device stores, as a library, information input by a user and weighting-coefficient data that indicates, by weighting coefficients, a relation between model elements and / or calculation conditions. The processor evaluates information acquired from the user input, constructs a model to be used in the simulation by using the weighting-coefficient data stored in the storage device, performs a simulation based on the constructed model, and outputs data indicating information relating to the constructed model and data indicating results of the simulation.SELECTED DRAWING: Figure 1

A computing platform configured to: (i) receive spectrometry data for a leaf sample of a cocoa tree; (ii) utilize a first set of one or more artificial intelligence (AI) models to predict one or more nutrient levels for the leaf sample based on the spectrometry data; (iii) utilize a second set of one or more AI models to generate one or more recommendations for treating the cocoa tree based on the one or more nutrient levels; and (iv) cause the one or more recommendations to be presented to an individual involved in managing the cocoa tree.

Washing program generation unit (R) intended for generating washing programs for an automatic washing system (WA) for vehicles, namely for a portal washing system, comprising: - An input interface (41) for reading in a placement data set representing the current placement of machine components in the washing system; - A processor unit (42) for determining function blocks from a set of function blocks (FuB) that can be activated on the basis of the assembly data set read in via the input interface (41); wherein a function block (FuB) is a digital object in which the correspondingly required machine components are assigned for its functionality; - A user interface (43) designed to output the set of activatable function blocks determined by the processor unit and designed to capture a selection of the output activatable function blocks; wherein the processor unit (42) is further designed to automatically generate a washing program based on the selection of output activatable function blocks captured on the user interface (43) for operating the washing system (WA).

To efficiently perform machine learning while suppressing increase in teacher data for machine learning corresponding to a shape of a space and an object therein different for each prediction target.SOLUTION: A prediction model generation method is a method in which one or more computers 10 execute processing of performing machine learning of a parameter using teacher data and generating a prediction model 20 having data in a first state acquired at least by data acquisition units 11, 12 as an input and data in a second state as an output. Teacher data includes data indicating at least one main flow 40 generated in a fluid in a space 2 by influence of external force and data indicating at least one local flow 41 generated when the main flow 40 hits at least one object 3 present in the space 2.SELECTED DRAWING: Figure 1

Systems and methods for positioning horizontal wells within a limited-pre- defined boundary. The systems and methods include an automated process for creating jointed target pairs or horizontal laterals to be utilized for planning horizontal wells in order to position the horizontal laterals within limited pre-defined boundary(ies).

Systems and methods for tracking and controlling battery consumption in a fleet of battery-powered electronic devices are disclosed herein. An example method includes receiving power consumption and usage information of a device for a duration; determining a first power usage value of the device based on the power consumption and usage information over the duration; analyzing the power consumption and usage information to determine attributes associated with excessive power usage of the device over the duration; identifying and applying mitigation measures to process the attribute and reduce the first power usage value for the duration; determining a second power usage value of the device based on the mitigation action implemented over the duration; determining a difference between the first power usage value and the second power usage value for the duration; and determining at least one indicator indicative of energy conservation for the duration based on the determined difference.

The present disclosure provides system and method for monitoring of at least one physiological parameter of a person engaged in a physical activity, for example, an impact received by a player engaged in a contact sport such as football. The system includes a monitoring unit that actively monitors the physiological parameter of the person, wherein the monitoring unit generates an alert event when the monitored physiological parameter exceeds a threshold of the parameter. The monitoring unit determines whether the parameter exceeds an over-exposure threshold, wherein said threshold is based upon both a single incidence or cumulative incidences.

It is desired to provide a technique for accurately estimating model parameters by data assimilation.SOLUTION: And a data assimilation unit configured to obtain a data assimilation result by executing sequential data assimilation on the basis of observation data obtained by observing a state of an observation target, the simulation result, and a variance of system noise in the simulation unit, in which the data assimilation unit makes a variance of system noise at an end of the sequential data assimilation smaller than a variance of system noise at a start of the sequential data assimilation.SELECTED DRAWING: Figure 1

We provide the system. [Solution] A means of collecting employees' closing talks as data, A method for converting collected data into text data and cleansing it, A method for training a generative AI using cleansed data, A means of providing real-time customer support using trained AI models, A means of providing employees with a simulation environment to learn closing techniques, A system that includes this.

The system according to this embodiment aims to propose and assign the most suitable communication methods and roles based on the behavioral tendencies of each member. [Solution] The system according to the embodiment comprises an analysis unit, a proposal unit, a simulation unit, and an assignment unit. The analysis unit analyzes the behavioral tendencies of each member. The proposal unit proposes the most suitable communication method and response strategy to the leader based on the behavioral tendencies analyzed by the analysis unit. The simulation unit performs a decision-making simulation based on the response strategy proposed by the proposal unit. The assignment unit assigns the most suitable role to each member based on the results obtained by the simulation unit.

Oil or gas fields and associated facilities are computer simulated by solving linear algebraic equations using a Schwarz method with at least one well node included in the overlap. According to another aspect, equations for the wellbore nodes are processed to eliminate some non-pressure variables, e.g. component compositions. Other features are also provided.

We provide the system. [Solution] A means of receiving user input information, A means to simulate the optimal allocation of donations based on the donation amount, A means of recommending return gifts based on past history and preferences, A means to automatically execute the donation process when the user approves the proposed plan, A system that includes this.

The system according to this embodiment aims to automatically generate and provide optimal training programs tailored to the skill levels and goals of employees. [Solution] The system according to the embodiment comprises an analysis unit, a generation unit, and a monitoring unit. The analysis unit analyzes employees' historical data, current skill levels, and individual goals. The generation unit automatically generates and provides an optimal training program based on the analysis results obtained by the analysis unit. The monitoring unit monitors training progress in real time based on the training program generated by the generation unit and provides feedback and support.

To provide a high polymer material data analysis device and a high polymer material data analysis method in which a structure and composition of a high polymer material can be predicted with high prediction accuracy based on actually measured one-dimensional spectral information of the high polymer material.SOLUTION: A high polymer material data analysis method comprises the steps of: obtaining actually measured one-dimensional spectral information of plural kinds of high polymer materials; normalizing the one-dimensional spectral information for each high polymer material; obtaining composition information and structure information of the high polymer material and normalizing them for each piece of structure information of the high polymer material; calculating a correlation coefficient by correlation analysis based on the normalized one-dimensional spectral information and the normalized structure information; creating a learning model in which the one-dimensional spectral information is used as explanatory variable, and either one of the composition information or the structure information of the high polymer material is used as objective variable; repeatedly creating the learning model until an outcome of the learning model satisfies determination conditions; and predicting either one of structure or composition of the high polymer material by the learning model satisfying the determination conditions, using the one-dimensional spectral information.SELECTED DRAWING: Figure 2

Inhaler for administering a pharmaceutical with a) a reservoir (1) for storing the pharmaceutical, wherein the reservoir (1) has a dispensing opening (2), b) a triggering device (3) for triggering an application of a pharmaceutical product, wherein the pharmaceutical product is dispensed through the dispensing opening (2), c) an information storage medium (4) for storing application data, d) a conversion device (5) for converting analog application data into digital application data, e) a wireless information transmission device (6) for transmitting the application data to an external display and / or storage medium and f) a power generation unit (7) for providing electrical energy to the conversion unit (5), the information storage medium (4) and the information transmission unit (6) characterized by the fact that the energy generation device (7) is designed as an inductive element, or as a vibrationally excited element (13) in an outlet opening of the inhaler (3), which is excited to vibrate by the outflowing pharmaceutical, wherein the inductive element comprises a coil (9) arranged on the reservoir (1) and magnets (8) arranged on a base body and cooperating with the coil (9) and a movement of the reservoir (1) both induces an electronic current and opens the path for the pharmaceutical through the dispensing opening (2). will and that during the application, the required electrical energy can be generated and provided by the energy generation device (7) instead of a long-term energy storage device.

Provide a system. A means for receiving and recording data from a motion capture device; means for analyzing the recorded motion capture data and recognizing specific movement patterns; A means for selecting an optimal industrial robot based on the analyzed motion pattern; means for automatically generating an operation program corresponding to the selected robot; means for verifying the generated operating program in a simulation environment; means for providing a verified operating program to a terminal; A system including:

The present invention provides a mechanism for sharing an analysis method, by using a container technology.　In the present invention, an analysis system comprises: a first reception means that receives designation of an analysis method to be used in a field of bioinformatics; a second reception means that receives input data to be analyzed using the analysis method being designated; an acquisition means that acquires a container image corresponding to the analysis method being designated from among a plurality of container images each including a program for executing the analysis method to be used in the field and information for achieving an execution environment of the program; an analysis means that executes a container on the basis of the container image being acquired and analyzes the input data being received; and an output means that outputs the result of the analysis.

The present disclosure is directed to a method and apparatus (100) for controlling a chemical production process, for instance by detecting one or more events associated with a chemical reaction (101) during a chemical production process. The apparatus is configured to receive at least a sequence of image data (104) representing reaction conditions of the chemical reaction, to map, at a mapping unit (110), one or more image frames of the sequence of image data to at least one lower level representation (P), to generate an event trigger (112) based on a change (ΔP) in the at least one lower level representation that is associated with a respective change in the reaction conditions of the chemical production process and to provide the event trigger in association with the sequence of image data for monitoring the chemical production process. The method and apparatus enable improved assessment of the chemical production process.

To provide technology for neoplasia screening, and particularly, but not exclusively, methods, compositions, and related uses for detecting the presence of cancer, in particular, colorectal cancer.SOLUTION: A method for detecting the presence of cancer comprises: assaying an amount of a methylated marker DNA, to asses a methylation state of a marker in a sample obtained from a subject; and identifying the subject as having cancer when the methylation state of the marker is different from a methylation state of the marker assayed in a subject that does not have a neoplasm.SELECTED DRAWING: None

Systems and methods for tracking and controlling battery consumption in fleets of electronic devices powered by batteries are disclosed herein. An example method includes receiving power consumption and usage information of a device over a duration of time; determining a first power usage value of the device based on the power consumption and usage information over the duration; analyzing the power consumption and usage information to determine an attribute associated with excess power usage of the device over the duration; identifying and applying a mitigation to address the attribute and to decrease the first power usage value over the duration; determining a second power usage value of the device based on the implemented mitigation over the duration; determining a difference between the first and second power usage values over the duration; and determining at least one metric indicative of power conservation over the duration based on the determined difference.

A circuit for mapping N coordinates to a 1D space. The circuit: receives N input bit-strings representing respective coordinates, which can be of different sizes; produces a grouped bit-string therefrom, in which the bits, including non-data bits, are grouped into groups of bits originating from the same bit position per group; and demultiplexes this into n=1...N demultiplexed bit-strings, and sends each to a respective n-coordinate channel. The nth demultiplexed bit-string comprises: a respective part of the grouped bit-string that has n coordinate data bits and N-n non-data bits per group, and all other groups filled with null bits. Each but the N-coordinate channel comprises bit-packing circuitry which packs down the respective demultiplexed bit-string by removing the no-data bits, and removing the same number of bits per group from the null bit. The packed bit-strings are then aligned relative to one another according to the corresponding bit positions, and combined.

A computer-implemented method (100) and system (1) for controlling the performance of a smart contract. The method includes storing a contract on or in a computer-based repository. The contract is associated with a licence between a first user (Ul) and a second user (U2). The method further includes receiving, over a communications network, a transaction comprising a transfer of a token from an agent (A) to the first user (Ul) or the second user (U2). The transaction comprises metadata that includes an identifier indicative of a location where the contract is stored. The method further includes querying a peer-to-peer distributed ledger (i.e. blockchain) to determine whether the transaction comprises at least one unspent output (UTXO). The method further includes, responsive to querying the peer-to-peer distributed ledger, determining whether to modify performance of the contract. The blockchain may be the Bitcoin blockchain.