108 results about "Selection criterion" patented technology

A method includes obtaining video data of a dental patient. The method further includes obtaining an indication of selection criteria in association with the video data. The selection criteria includes conditions related to a target dental treatment of the dental patient. The method further includes performing an analysis procedure on the video data. Performing the analysis procedure includes determining a first score for each frame of the video data based on the selection criteria. Performing the analysis procedure further includes determining that a frame satisfies a first threshold condition based on the first score. The method further includes providing the first frame as output of the analysis procedure.

An embodiment provides a server UE, especially UE acting as positioning session coordinator, having a transceiver and a controller,wherein the transceiver is configured to receive positioning request (from its higher layers or from a second entity),wherein the controller is configuredto initiate and / or maintain a positioning session for a target UE, wherein the positioning session has at least a measurement between the target UE and an anchor UE; to select out of a plurality of UEs at least one anchor UE fulfilling one or more anchor UE selection criteria; andto coordinate assignment of the configuration associated with at least one resource for transmission and / or for reception with the target UE and the anchor UE involved in the positioning session.

An image set is refined by selection criteria among captured images, such that images within the set must satisfy criteria such as feature matching among a plurality of frames or positional changes between frame pairs or sufficient overlap of reprojected points of one image into another image such that the reprojected points or features are observed in the frustum or coordinate space of the another image.

The invention relates to an e-commerce live broadcast intelligent item selection method and system. The method comprises the following steps: S1, constructing a multi-dimensional commodity selection criterion system, and collecting original data of a to-be-recommended commodity under each criterion; step S2, subjective weight calculation; s3, objective weight calculation; and S4, carrying out weight fusion and scheme evaluation. According to the method, weight quantification verification is performed through the analytic hierarchy process and the entropy weight method, and the fusion coefficient is dynamically adjusted in combination with the business scene, so that the problems of subjective experience contradiction, poor cold start adaptability and low decision transparency of traditional product selection are solved, and an experience quantification-data verification-weight fusion decision chain is formed; and finally, the product selection scientificity is improved, the scene adaptability is enhanced, and the decision transparency is improved.

Aspects of the subject disclosure may include, for example, selecting a latency comparison, a throughput comparison, a security comparison, a reliability comparison, movement information or a combination thereof for an end user device executing a communication service according to a service type resulting in a selection criteria, wherein the comparisons are evaluations of each of different available connections; and generating a switching decision by selecting one of the connections. Other embodiments are disclosed.

Automatically generates sales materials optimized for each customer. [Solution] A program that causes one or more processors to execute the following steps: acquiring basic customer information, information related to transactions with the customer, and external customer information; analyzing each acquired piece of information to extract keywords and the context of those keywords to identify the customer's potential problems; selecting the company's services to solve the problems based on the identified problems and selection rules that define the selection criteria for the company's services, and determining proposal requirements that include the company's services and the problems; incorporating the proposal requirements into a prompt template and generating a prompt that instructs a generating AI model to generate text content that constitutes sales materials for the customer; and inputting the prompt into the generating AI model and incorporating the obtained text content into a document template to generate sales materials for the customer.

Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) or network component may select a measurement window type corresponding to the positioning reference signal (PRS) processing window (PPW) or a measurement gap (MG) for measurement processing of each instance of a positioning frequency layer (PFL) for a positioning session of the UE based on one or more selection criteria.

There is provided a technique for achieving inter-satellite optical communication for a satellite having a limited calculation capability. One aspect of the present disclosure relates to an earth station, including: a data acquisition unit that acquires a predicted orbit data sequence indicative of a predictive ephemeris of a satellite for a predetermined period, and a communication unit that transmits the acquired predicted orbit data sequence to a relay satellite, wherein the data acquisition unit acquires a first data sequence that is the predicted orbit data sequence having a first data amount and a second data sequence that is the predicted orbit data sequence having a second data amount smaller than the first data amount, and the communication unit transmits the first data sequence or the second data sequence as orbit information of a satellite to a relay satellite, the first data sequence or the second data sequence selected in accordance with predetermined selection criteria.

Solutions are disclosed that provide service differentiation to prioritize which user equipment (UE) is assigned to the radio resource control (RRC) inactive state, due to limitations on the number of UEs that a base station can support in that state. If a UE has an ongoing packet session (e.g., protocol data unit, PDU, session) meeting selection criteria, that UE is prioritized for the RRC Inactive state. UEs that do not have an ongoing packet session meeting the selection criteria are permitted to go to the RRC Idle state. Since resuming the RRC Connected state from the RRC Inactive state is faster than establishing the RRC Connected state from the RRC Idle state, the UEs having the packet session meeting the selection criteria experience less packet delay when resuming data transmission after a period of inactivity. The selection criteria may thus be generally related to packet delay budgets.

The disclosure generally describes methods, software, and systems for assigning incoming documents to a pre-defined layout class. A digitalized document corresponding to an original document is obtained. The digitalized document can be compressed, using a compression algorithm and a plurality of compression dictionaries, to generate a plurality of compressed documents. A respective compression ratio for each compressed document can be generated. A matching compression ratio associated with a first compressed document can be identified. The matching compression ratio can be identified as matching a selection criterion to identify a document layout matching the digitalized document. A first document layout associated with the compression dictionary used to generate the first compressed document can be assigned to the digitalized document. The assigned layout can be used to extract one or more data entries from the digitalized document to generate a record.

The application provides a test scheme for checking data retention performance of NOR type Flash memory, focuses on the influence of erase-write cycles on the data retention performance, unifies the erase-write cycle number of the Flash memory test, stipulates clear temperature selection criteria, provides a reference for the Flash memory related test, and comprises the following steps: step one: determining the basic test algorithm of the NOR type Flash memory as the Checkerboard algorithm from the algorithm design complexity and the fault coverage; step two: improving the Checkerboard algorithm process and determining the data retention fault determination step; step three: carrying out a pre-experiment to determine the data retention performance test temperature, erase-write number and sample number of the NOR type Flash memory; step four: determining the erase-write number of the data retention test at normal temperature and the sample number under each erase-write number; step five: determining the test pattern, failure criterion, test duration and test cycle; step six: carrying out the data retention test combined with the erase-write cycle based on the non-replacement timing truncation test; and step seven: test data processing, fitting the average failure time under different erase-write numbers with the erase-write number to obtain the corresponding relationship between the average failure time and the erase-write number.

A search unit performs a search process. In the search process, a first process and a second process are iteratively performed. The first process is a process of selecting a change-target state variable from a plurality of state variables included in an evaluation function, based on the amounts of change in the value of the evaluation function caused by updating the values of the individual state variables and a first function that is a function representing a selection criterion for the change-target state variable according to the amounts of change. The second process is a process of updating the value of the selected change-target state variable. A control unit switches the function used by the search unit in the search process to a second function different from the first function.

A method and apparatus for highlighting a program listing in a set of program listings based on selection criteria. The selection criteria may indicate that the a broadcaster has agreed to pay a service provider in return for the service provider ensuring that a program listing, corresponding to the program of the broadcaster, is highlighted in a program page that displays a set of program listings, such as television program listings. If there are multiple program listings, listed in a program page, that are to be highlighted, then details of the respective contracts may be used to determine which program listing to highlight. Such details may include the total contract value, a ratio of contract value-to-page view, and / or the time of contract formation.

A method and apparatus are disclosed for upgrading libraries in a source code program by evaluating libraries in the source code program for predetermined selection criteria specifying library performance limitations to identify at least a first library which does not meet the plurality of predetermined selection criteria and then identifying a first alternative library that is suitable for substitution for the first library so that the source code program may be automatically modified to replace the first library with the first alternative library, thereby generating a modified source code program having an upgraded library functionality.

A computer-implemented method of accessing, by one or more processors, database tables that include a first row storing a first set of data that includes selection criteria values and first data values and a second row storing a second set of data that includes the selection criteria values and second data values. After determining the first and second sets of data share the selection criteria, the method groups the first and second row to generate a grouped row that indicates a comparison of data based on certain data formats. The method iteratively performs the grouping across the database tables to generate a plurality of grouped rows which are incremented by a counter value to reflect the total number of grouped rows. The method generates a performance metric based on the counter value incremented.

Disclosed herein are methods and systems for filtering entity profiles. A method includes receiving, from a plurality of data sources and for a plurality of medical entities, clinical data and online interaction data; generating a plurality of entity profiles for the plurality medical entities; calculating one or more clinical metrics and one or more online interaction metrics for the plurality of entity profiles from the clinical data and the online interaction data; executing a model using identifications of the plurality of entity profiles and the one or more clinical metrics and the one or more online interaction metrics as input to generate influence scores for the plurality of entity profiles; selecting a subset of the plurality of entity profiles responsive to each entity profile of the subset having an influence score satisfying a selection criteria; and generating a record comprising identifications of the subset of the plurality of entity profiles.

Solutions are disclosed that provide service differentiation to prioritize which user equipment (UE) is assigned to the radio resource control (RRC) inactive state, due to limitations on the number of UEs that a base station can support in that state. If a UE has an ongoing packet session (e.g., protocol data unit, PDU, session) meeting selection criteria, that UE is prioritized for the RRC Inactive state. UEs that do not have an ongoing packet session meeting the selection criteria are permitted to go to the RRC Idle state. Since resuming the RRC Connected state from the RRC Inactive state is faster than establishing the RRC Connected state from the RRC Idle state, the UEs having the packet session meeting the selection criteria experience less packet delay when resuming data transmission after a period of inactivity. The selection criteria may thus be generally related to packet delay budgets.

Example embodiments relate to a computer-implemented method for determining endurance performance of a subject based on sensor measurements; the computer-implemented method comprising: obtaining (201) workload data measured by at least one workload sensor, comprising a time series (212) of the workload exerted by the subject during one or more physical activities; obtaining (202) heart rate data measured by at least one heart rate sensor, comprising a time series (211) of the heart rate of the subject during the one or more physical activities; selecting (203) time intervals (213 - 219) within the workload data and the heart rate data based on a set of selection criteria (204); for the respective time intervals (213 - 219), determining (205) an average workload (207) and, for a final portion of the respective time intervals (213 - 219), determining (205) an average heart rate (206); and determining (208) at least a portion of a workload-heart rate relationship (221), indicative for the endurance performance of the subject, by fitting a linear equation (224) to the average workloads and the average heart rates (230) of the respective time intervals (213 - 219).

The method includes receiving spectral data of a substrate and measurement data corresponding to the spectral data of the substrate. The method includes determining multiple feature model configurations for each of a plurality of feature models, further including determining that each of the multiple feature model configurations includes one or more feature model conditions. The method includes determining multiple feature model combinations, further including determining that each of the multiple feature model combinations includes a subset of the multiple feature model configurations. The method includes generating multiple input datasets, each of which is generated based on applying spectral data to each of the multiple feature model combinations. The method includes training multiple machine learning models, each of which is trained to produce an output using an input dataset from a plurality of input datasets and measurement data. The method further includes selecting from the trained machine learning models a trained machine learning model that satisfies one or more selection criteria.

An acoustic image source model for early reflections is generated by iteratively mirroring (305) the room around the boundaries (e.g., walls) of the room in previous iterations. A specific selection criterion (303) determines (303) which boundaries to mirror in each iteration. The selection criterion includes the following requirements: the mirroring direction cannot be reversed; it cannot be in excluded directions; and it cannot be repeated except in a series of consecutive mirroring processes.

Classification and preprocessing algorithms are applied to at least one reference document and a natural language command provided as input by a user to a development environment for computer programming. Approximate matching of keywords in user commands with data in the reference document is performed with a fuzzy hash map and used to develop information metrics that produce a ranking of candidate actions. Selection criteria are then used to select an action from multiple candidate actions to perform the desired operation in the development environment.

Various methods and processes, apparatuses or systems, and media for enabling skill-based contract assignment for completing a particular project are disclosed. A processor trains a model on a set of known criteria data, a plurality of dimensions data, and volume data; and receives a request, via a user interface, from a user to assign the contract for completing the project by selecting criteria determining data. The model applies a weight to the selected criteria determining data; generates a forced-rank list of subject matter experts (SMEs) with rankings and contact information; and transmits the forced-rank list to the user interface. The processor receives user input from the user, via the user interface, establishing an agreement to select an SME from the forced-rank list; transmits an electronic message to the selected SME to accept the agreement; and sets the agreement into a contract on a blockchain to ensure accuracy and encryption.

The invention relates to a computer-implemented method and system for optimizing clustering of a plurality of input data, the method comprising the steps of: providing a plurality of input data; extracting at least one feature from the plurality of input data; reducing the dimensionality of at least one feature; clustering the plurality of input data based on the at least one feature of dimension reduction; determining a respective quality for each cluster of the plurality of clustered input data; sorting the clusters into a cluster hierarchical tree structure for storing the cluster hierarchical tree structure by iteratively selecting a plurality of clusters based on the respective determined quality and / or based on selection criteria, where the cluster hierarchical tree structure has nodes for which respective dimensionality reduction states and respective cluster definitions are indicated, respectively; for each piece of input data in the plurality of pieces of input data, calculating a corresponding clustering membership value; and calculating the correlation between the clusters based on the cluster membership values so as to optimize the clusters.

A computer implementation method (100) for generating a spectral model for controlling and / or monitoring a process for producing a chemical, biopharmaceutical, or biotechnology product, the computer implementation method comprising: - providing (S120) a database (202) storing multiple observation datasets associated with corresponding observations of past processes of a chemical, biopharmaceutical, or biotechnology product, each observation dataset including: stored spectral trajectory data, one or more stored process descriptors, and at least one corresponding actual analytical measurement of a process parameter recorded during the execution of the corresponding past process; - obtaining (S140) user-based input data from a user, the input data including at least one of: input spectral trajectory data and one or more input process descriptors; - determining (S160) a subset of the stored spectral trajectory data by querying the database (202) using the user-based input data according to at least one selection criterion; and - generating a spectral model using (S180) the subset of the stored spectral trajectory data, the spectral model providing process parameter values ​​for the overall duration of the executed process.

A system for measuring the temperature inside a rubber compound of a tire (20) when it is running, comprises at least one sensor (10) fitted with a microprocessor, radio transmission means, a temperature measuring probe, and power supply means such that: the sensor (10) is inserted in an area of the tire (20) originating from a manufacturing process, the area being identified on the basis of predefined selection criteria; the sensor (10) is embedded in a hermetically sealed volume formed inside a rubber compound of the tire (20) originating from a manufacturing process; and the system comprises means for keeping the sensor in a fixed position while the tire (20) is running.

A method includes obtaining video data of a dental patient. The method further includes obtaining an indication of selection criteria in association with the video data. The selection criteria includes conditions related to a target dental treatment of the dental patient. The method further includes performing an analysis procedure on the video data. Performing the analysis procedure includes determining a first score for each frame of the video data based on the selection criteria. Performing the analysis procedure further includes determining that a frame satisfies a first threshold condition based on the first score. The method further includes providing the first frame as output of the analysis procedure.

This invention belongs to the field of speech technology, specifically relating to a method for selecting audio training datasets based on phoneme matching pronunciation tables. Addressing the problems of high redundancy, high acquisition and annotation costs, and difficulty in verifying content integrity in existing technologies, the following solution is proposed: A target phoneme set is constructed according to the needs of the target task or domain; a pronunciation table is constructed or obtained and stored in key-value pair format; the original audio-text pair dataset is obtained, and the text is preprocessed; the preprocessed text is converted into corresponding phoneme sequences in the pronunciation table, and each phoneme sequence is analyzed; based on preset selection criteria, sample pairs in the original audio-text pair dataset are selected, retaining those that meet the selection criteria to form a reduced dataset; the reduced dataset is output. This solution reduces annotation costs while ensuring data comprehensiveness, and is suitable for processing datasets for lightweight edge speech synthesis models and fine-tuning of speech models.

Systems and methods for generating aggregate reviews are disclosed. Generating aggregate reviews includes receiving review data associated with an item object in a database and selecting a subset of the review data based on a first selection criteria. The systems and methods further include generating, a target keyword score for each respective target keyword based on a polarity of the target keywords, selecting a subset of the target keywords based on a predetermined range of the target keyword scores, generating one or more target keyword summaries for each respective target keyword, generating an item object summary based on the one or more target keyword summaries, iteratively modifying the item object summary using a self-critique module, and generating a set of instructions to cause the item object summary to be displayed on a user interface.