87 results about "Associative processing" patented technology

A method and system for human or computer-based group-members to interact with peers to craft an action sequence to achieve a group goal. Method includes means for guiding group members on how to integrate their activities in pursuit of a specific pre-defined group goal, when given only partial understanding of how they can achieve said goal. The method identifies, selects, values and integrates group-member actions that are causal to a group achievement. The system incorporates the method along with means for recording, assigning value and reporting contributions by group members. System also includes an apparatus consisting of head-mounted microphone, voice recognition software and miniature video screen in field of view to aid data collection in applications where events occur in rapid sequence. For computer-based group members, system includes unsupervised neural network embodied in a computer mechanism and means to evaluate the instant activity and immediately relate processed information to guide the integration of group members actions.

An intelligent vehicle meter includes an associative processing unit and a signal processing unit connecting to various modules to process related signals. Through a measurement module and an accelerometer module physiological conditions of an exerciser and exercise intensity can be obtained to generate a control signal to be sent to a control module. Hence a corresponding control measure can be made immediately by the control module according to exerciser's conditions to actively change use intensity of the exercise equipment to enable the exerciser to do exercise under the optimal condition to protect the health and safety of the exerciser.

The embodiment of the invention provides an application associative processing method and an application associative processing device. The method comprises the following steps: detecting a first operation instruction input by a user; when determining that the first operation instruction is first preset operation performed by a user aiming at a first content displayed on a display interface, displaying prompt information of a second content associated with the first content, wherein the first preset operation is an operation gesture preset by the user, and the prompt information is used for prompting the association relation exiting between the first content and the second content to the user. When the first content is an application icon, the second content is an icon of at least one control included by the application corresponding to the application icon; or when the first content is the icon of the control, the second content is the application icon to which the control belongs. The complexity of the user operation can be reduced.

The invention discloses a new method for detecting non-humoral rare karyotes. Non-humoral rare karyotes in a biological body fluid are obtained through many means, and the combined use of the antibody of a humoral cell surface marker and the specific probe of the non-humoral rare karyotes is carried out to discriminate the enriched rare karyotes. Compared with commercial discriminating methods existing in the present market, the method disclosed in the invention well combines a fluorescent in situ hybridization (FISH) method for processing the non-humoral rare karyotes with the immunofluorescence dyeing for processing humoral rare karyotes, realizes the systemic associative processing of a same specimen sheet, and can realize the intelligible observation of two processing results.

The invention discloses a processing method for alarm correlation of a monitoring system based on business rules. The processing method comprises following steps of: a), coding all capital equipment in a unified mode according to business rules; b), acquiring original alarm information, where each piece of business rules comprises a capital code through which a business system ID is founded out and finding out all related capital equipment corresponding to the business system by means of the business system ID; c), reading occurrence time of original alarm information and calculating the related warning time range; and d), matching all related original alarm information in a related manner in order to find out original alarm information and result alarm information if original alarm information of related capital equipment within the related alarm time range is present and carrying out early warning operation if otherwise. The processing method for alarm correlation of the monitoring system based on business rules has following beneficial effects: with business requirements of a client as objects of management, root causes of failure based on business rules can be precisely positioned and non-perceptible failure of the client can be pre-processed in order to avoid occurrences of perception failures.

The invention discloses a log analysis method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining an input data set which is data with a unified data structure after the standardization of the obtained original log data; inputting the input data set into a preset exception analysis model to generate exception data, the exception analysis model being arecurrent neural network model which is trained to a convergence state in advance and is used for extracting the exception data in the log data; and performing association processing on the abnormaldata based on a preset abnormal historical database. According to the method, the original log data from different servers can be quickly acquired; the log data is subjected to standardization processing to have the same data structure, and then the log data is subjected to anomaly identification by adopting the recurrent neural network model, so that even if the data volume is huge, the log datacan be rapidly identified, and the abnormal data is subjected to correlation processing to accelerate the abnormal data processing speed and improve the abnormal data processing accuracy.

The invention discloses a weighted nearest-neighbor data association method for a centralized multi-radar data processing process. The scores of seven parts including a gate, a course angle/angular velocity, attribute similarity, accelerated speed, response times, vertical distance and track status are associated, and the scores of the seven parts are subjected to the calculation of trace point and track relevancy based on the weighted scoring algorithm. In this way, the updated value of a final score is obtained. During the score associating process, after the calculation of trace point and track relevancy, the smaller the updated value of the final score of the associated values, the stronger the matching relationship. When the updated value of the final score of the associated values is larger than 0x9FFFF, the matching requirement is not met. In the condition of limited hardware resources and high requirement on real-time performance, the above data associated processing method is relatively efficient and accurate. Meanwhile, on the basis of an original nearest-neighbor associated processing method, other associated reference factors are introduced at the same time. Therefore, an optimal matching group between trace points and the track can be gradually found out.

The invention discloses a mail processing method and terminal. By associatively processing attached documents in one or more received electronic mails, the complicated process of operating the attached documents in the mails in sequence or independently is avoided, the operation steps are effectively reduced, the operation efficiency of a user is improved, and the user is enabled to obtain good operation experience. Meanwhile, according to the application, different electronic mails can be matched according to at least one of mail content, mail subjects, sender information and attached document names in the mails, for example, the mails are matched according to names of sub-volume compressed files, so that the association degrees of the attached documents of the matched electronic mails are higher and the associative processing accuracy of the attached documents is improved.

The invention discloses a semantic-based multi-modal spatio-temporal data association method, and belongs to the technical field of geographic space information systems. According to the method, the constructed ontology model is used for carrying out feature-semantic mapping and conceptualized semantic expression on the data, complex semantic information of the multi-modal spatio-temporal data iseffectively described in a unified format, and the problem that a computer is difficult to understand semantic content information of the data is solved; meanwhile, based on ontology semantic expression of the spatio-temporal data, time association, space association and content object semantic association between the spatio-temporal data are established through three factors of time, space and objects contained in data content, and association between the multi-modal spatio-temporal data is effectively carried out. The method is mainly used for cross-modal retrieval of multi-modal spatio-temporal data, an accurate and comprehensive data link association processing result is provided for a user, and then the cross-modal retrieval performance is improved.

The invention provides a graphical processing method for a visualized big data association relationship. The method and the device are characterized in that a simple, convenient and intuitive graphical operation interface is provided and enables a user to perform graphic association processing on existing data without programming foundation; the method and the device can be widely applied to data visual display and analyzing of each industry and help user to build own data self-service analyzing system. The method comprises the following steps: (1) acquiring data files which are selected by the user and are to be imported, wherein the data files are worksheets; (2) concretizing the worksheets into a plurality of entity graphs through the graphics technology of a web side, and marking the names of service objects on the entity graphs; (3) prompting the user whether to build data association while detecting that the entity graphs are directly impacted and overlapped; if so, carrying out step (4), and otherwise, carrying out step (5); (4) performing data association on fields, selected by the user, of each worksheet, storing, and then displaying an association link through an interface; and (5) finishing. The invention also provides a device.

The invention provides a knowledge-driven business operation graph construction method. The knowledge-driven business operation graph construction method comprises two parts of knowledge generation and domain knowledge graph construction based on multi-source heterogeneous business data and whole-network domain operation graph network construction based on operation mode evolution. Knowledge generation and domain knowledge graph construction based on multi-source heterogeneous business data comprise knowledge extraction and association processing based on multi-mode full-link multi-dimensionalbusiness data, collaborative modeling and graph generation based on multi-source extraction knowledge and knowledge graph expansion based on business domain knowledge autonomous discovery. Accordingto the method, the construction problem of the business operation atlas is converted into the problem of searching related operation knowledge atlas contents from the business data knowledge atlas according to the business operation process and the required data, so that the subgraph query problem of related operation businesses is searched from the huge public business data knowledge atlas.

The invention discloses an alarm fault association method and apparatus. The method comprises the steps of building an alarm fault association model according to occurrence time period information ofan alarm event and a fault event in a training set, and according to the alarm fault association model, performing associative processing on the alarm event and the fault event in the training set toobtain associated events; receiving the alarm event from an alarm system or the fault event from a fault system; according to the received occurrence time period information of the alarm or fault event, selecting the associated event corresponding to the alarm or fault event from the associated events; and according to the selected associated event, determining the fault event corresponding to thealarm event or the alarm event corresponding to the fault event. According to the technical scheme, based on a machine learning thought, the associated event representing the associativity of the alarm event and the corresponding fault event can be automatically obtained without manual configuration, so that the alarm event or the fault event can be quickly and continuously associated.

The invention provides a complex product quality problem tracing method and system. The tracing method comprises the following steps: receiving related problem data of a complex product quality problem; performing text recognition processing on the related problem data to obtain each problem entity and an association relationship between the problem entities, the problem entities being the problemdata after characterization processing; performing association processing on each problem entity according to the problem association relationship to generate a quality problem knowledge graph; and tracing the source data of the quality problem according to the quality problem knowledge graph. The tracing method provided by the invention is based on a natural language processing technology, multi-dimensional correlation analysis technology mining is carried out on a complex product quality case, and the efficiency of tracing the complex product quality problem is improved; and through the continuously improved quality problem knowledge graph, expert knowledge of quality problem analysis is solidified step by step, services such as analysis path prediction and typical problem early warningare provided, and a big data technical support is provided for complex product quality guarantee.

The invention relates to the field of artificial intelligence, and particularly discloses an automatic keyword extraction method and device, equipment and a storage medium. The method comprises: obtaining a sample text used for training, extracting keywords from the sample text, sorting the keywords according to the keyword extraction sequence, and sequentially performing label processing on all the keywords to obtain a keyword set containing labels; performing association processing on the sample text and the keyword set to form a training data set; training a pre-constructed language prediction model based on the training data set and the cross entropy loss function, and iteratively optimizing the language prediction model by using a gradient descent method to obtain a target language prediction model; and obtaining a to-be-processed text, inputting the to-be-processed text into the target language prediction model, outputting a target keyword set containing the tag, and extracting a target keyword of the to-be-processed text from the target keyword set according to the tag. In this way, the keyword obtaining efficiency and accuracy can be improved.

The embodiment of the invention discloses a method and a system for controlling a media stream and a logic entity. The method is applied to an IP packet network, and comprises the following steps: receiving a media control request sent by a client; performing associative processing on the media control request; and controlling the media stream according to an associative processing result. Through the embodiment of the invention, RTSP processing function RPF is introduced into a network to perform the associative processing on the media control request so as to realize that a plurality of clients control the same media stream and solve the problem of asynchronous RTSP states generated during the control of the plurality of clients.

The invention provides a video recommendation method, device and equipment and a storage medium, and relates to the technical field of video recommendation. The method comprises the steps of obtaininghistorical operation data of a target user; performing association processing on each piece of historical playing video feature data and each piece of candidate video feature data in the historical operation data to obtain an attention weight corresponding to each piece of historical playing video feature data; reconstructing comprehensive historical playing video feature data corresponding to each candidate video according to each historical playing video feature data and the attention weight; taking the attribute feature data and the context feature data of the target user, the comprehensive historical playing video feature data corresponding to each candidate video and each candidate video feature data as parameters, and obtaining a click probability of each candidate video by using avideo recommendation model obtained by pre-training; and recommending the video to the target user according to the click probability of the candidate video. Therefore, the accuracy of the video recommendation result can be improved.

The invention relates to a data processing system based on a big data platform, and a link optimization method. The system comprises: a data access module used for collecting electric power data of each category, wherein the categories of the electric power data comprise non-real-time structured data, collected measurement data and external data; a data storage module for carrying out standardization processing and association processing on the electric power data of each category according to a preset data processing rule, and carrying out classified storage on the processed electric power data according to business application requirements; a data calculation module for acquiring corresponding target power data from the data storage module according to business application requirements and calculating the target power data through an offline data calculation assembly or a real-time data calculation assembly to obtain a calculation result; and an analysis service module for acquiringthe calculation result, analyzing the calculation result and outputting an analysis result according to a preset output form. According to the system, data redundancy can be eliminated, and cross-professional data consistency and timeliness are improved.