388 results about "Event pair" patented technology

A content mining system and process utilizes a combination of term recognition and rules-based activity-event classification, performed using a modular database that defines one or more vertical markets or information sectors, to identify sector relevant evidence. The primary elements of the identified evidence are scored in a manner that rates the relevance of a content item with respect to a set of identified nominative entities, a set of activity-based event categories, further associated as sets of entity-event pairs. A database constructed of the scored information provides a relevancy indexed repository of the original unstructured content items.

In the implementation of a production process, event data corresponding to a parent event that has triggered an executable business process that has failed is logged. The event data is displayed to a user. Responsive to input from the user, a child event based on the event data is generated, and the child event is submitted to a process engine to initiate re-execution of the executable business process in accordance with the child event.

Technology is disclosed for supporting multiple application program interfaces. A main application identifies an application program interface to employ with a program outside of the main program, such as a plug-in. In one instance, the main application employs an application program interface registration list to identify the proper application program interface to use with a desired program-allowing the proper application program interface to be identified before interacting with the desired program. The registration list includes a set of entries. Each entry identifies a program and a corresponding application program interface to use with the program. The main application accesses an entry in the registration list for the desired program to identify the corresponding application program interface. One example of a registration list is an event catalog with each entry correlating an event to a program and the application program interface used by the program. When an event occurs, the main application accesses an event catalog entry to identify a program that corresponds to the event and the application program interface that corresponds to the program.

The invention provides a method and system for identifying a Chinese event sequential relationship. Each document of an original text, the event sequential relationship of which needs to identify, is subjected to word segmentation, entity identification, syntactic analysis, dependence relationship analysis and event extraction action, such that a test corpus event set is obtained; all event pairs and feature information thereof are respectively extracted from the test corpus event set and a labelled corpus set; a maximum entropy event sequential relationship identifying model is trained according to the features of various event pairs in a labelled corpus feature set; the sequential relationship of each event pair in the test corpus feature set is identified by utilizing the maximum entropy event sequential relationship identifying model, such that a first event sequential relationship set is obtained; and, by taking the document as the unit, event sequential relationship reasoning of all the event pairs in the first event sequential relationship set is carried out by utilizing a word denoting time reasoning method, an event relationship reasoning method, a reflexive reasoning method and a transitive reasoning method, such that an event sequential relationship set is obtained.

The invention discloses a Chinese homodigital event recognition method and system. The method comprises: carrying out word segmentation, entity recognition and syntactic analysis on each sentence containing an event in a homodigital labelled text and a test text to obtain a preprocessing labelled text set and a preprocessing test text set, and extracting events of the same event type and feature information thereof in the preprocessing labelled text set and the preprocessing test text set with one document as a unit to obtain a labelled text feature set and a test text feature set; training a homodigital event recognition model according to features of each event pair in the labelled text feature set; using the homodigital event recognition model to determine whether there is a homodigital relation among the event pair corresponding to each feature in the test text feature set, and obtaining a first event homodigital set; and carrying out global optimization on homodigital event results initially recognized in the first event homodigital set with one document as a unit. Therefore homodigital event recognition performance is improved.

The present invention is directed towards systems and methods for predicting one or more desired properties of external nodes or properties of their relations with internal nodes, based on a selected group of nodes about which it is known whether the nodes have the desired properties, or it is known whether they have a desired relation property with an internal node. The method comprises storing in one or more data structures a first data set regarding external nodes and a second data set regarding nodes with known properties in a selected group, each data set having one or more data items representing one or more events relating to or attributes of each node in the data set, the second data set including one or more types of data items not included in the first data set. The method then models the second data set to identify from the second data one or more modeled events or attributes of internal nodes in the selected group that are statistically likely to identify the nodes or their relations, that have the desired properties and predicts which of the external nodes are statistically likely to have the one or more desired properties, or desired relation property with internal node, based on the identified plurality of modeled events or attributes and the events or attributes in the first data set.

The invention relates to a decision making technique for the events, in order to solve the problem of decision-making simply and rapidly under the condition of a large amount of knowledge. The invention, for each event, can group each condition and become one group for the condition with identical prior probability and identical ' and , or ' relation to form one condition group, the corresponding relation table can be established according to the mapping relation between events, conditions and condition group, then the knowledge base for decision making is established based on the information in the relation table. A decision making application system for the events, which includes a server providing with the knowledge base and a computer connected with the server, can be established based on the knowledge base; the computer may receive one or more conditions inputted by user, the server, for every condition received, can carry out special ergodic process in the knowledge base, and look up out all condition groups with the condition, and the relative decision probability for one or more events can be figured out based on the information such as maximum probability or value of condition group, the satisfied condition number.

Embodiments of the present invention relate to apparatuses, systems, methods and computer program products for a technology configuration system. Specifically, the system typically provides operational data processing of a plurality of records associated with information technology operational activities, for dynamic transformation of data and evaluation of interdependencies of technology resources. In other aspects, the system typically provides technical language processing of the plurality of records for transforming technical and descriptive data, and constructing categorical activity records. The system may be configured to achieve significant reduction in memory storage and processing requirements by performing categorical data encoding of the plurality of records. The system may employ a dynamic categorical data decoding process, which delivers a reduction in processing time when the encoded records are decoded for evaluating the exposure of technology change events to technology incidents and modifying such technology change events.

The invention belongs to the technical field of network information. The invention relates to a cause and effect reason map construction method based on integration of multiple neural networks. The method comprises the following steps of: marking data of an obtained corpus by adopting a BIO sequence marking system and segmenting the data; performing event extraction by using a BERT + Bi-LSTM + Attention + CRF model, combining events based on event extraction elements (O, V) and defining event pairs and rule features during event relationship extraction, and extracting causal relationships in combination with the rule features between the events and the Bi-GRU model; carrying out similarity calculation based on event pairs; selecting two events with the highest scores to be combined into a(event i, similarity, event j) triple; extracting triples of combinations (reason events, cause and effect, and result events) on the basis of event relationships; then, adopting a Neo4j graph database for persistent storage, building a reason logic knowledge base is built to construct a cause and effect reason graph for hot topics, the constructed cause and effect reason graph can deeply extractsemantic information, and real-time control over hot events by related supervision departments and personal users is facilitated.

The invention provides a method and a device for processing upgrading information. The method comprises the following steps: acquiring an event triggering running in a first application program; judging whether the event triggering running in the first application program is upgraded or not; if yes, acquiring the upgrading information corresponding to the event triggering running; generating prompt information according to the upgrading information to carry out prompt. The device comprises an event acquisition module, an upgrading judgment module and an upgrading prompt module, wherein the event acquisition module is used for acquiring the event triggering running in the first application program; the upgrading judgment module is used for judging whether the event triggering running in the first application program is upgraded or not, and if yes, acquiring the upgrading information corresponding to the event triggering running; prompt information is generated by the upgrading prompt module according to the upgrading information to carry out prompt. The method and the device can realize accurate placement and improve the effective downloading rate of new versions.

The invention provides an event map construction method and device, and electronic equipment, and relates to the technical field of information mining, and the method comprises the steps of obtainingmultiple target event texts of a target event; performing meta-event extraction on the target event text to obtain a plurality of original meta-events; wherein the original meta event comprises a first event keyword; determining a plurality of target meta-events matched with the fact map from all the original meta-events based on the preset fact map and the first event keyword; wherein the cause map comprises events connected according to an event causal relationship and / or an event time sequence relationship; and updating the events in the cause map according to the target meta-event to obtain an event map corresponding to the target event text. According to the invention, the complexity of generating the event graph can be reduced, and the obtaining efficiency and event tracking capability of the event graph are improved.

The invention discloses an event processing method and a system. The method comprises the following steps: a user inputting a reported event comprising text information, picture information and / or video information and position information so as to upload to a call center; analyzing the text information, the picture information and / or the video information comprised in the reported event through an analysis algorithm to obtain an analysis result; comparing the analysis result with a reported event library to judge whether the reported event is a repeated uploading or not; comparing the analysis result with a preset emergency level to divide the emergency degree of the reported event; comparing the analysis result with a preset event type to divide the category of the reported event; dispatching to departments corresponding to the call center according to the emergency degree and the category of the reported event; each department calculating expected completion time information of thereported event according to the emergency degree; and an under processing node sending processing state information to a user according to the time information corresponding to the reported event. According to the event processing method and the system, the user tracks the processing process of the reported event in real time, so that the processing is made public and clear.

A diagnostic imaging system comprises a plurality of radiation detectors (20) configured to detect radiation events emanating from an imaging region. The system comprises a calibration phantom (14) configured to be disposed in the imaging region spanning substantially an entire field of view and to generate radiation event pairs that define lines-of-response, wherein the calibration phantom is thin such that each LOR intersects the calibration phantom along its length, the thickness of the phantom being smaller than the length of the LORs. A calibration processor (24) receives input of the radiation detectors and calculates an incidence angle independent crystal delay tau i for each detector. The calibration processor (24) constructs a first look-up table for the timing correction of each LOR and a second look-up table for the angle depth of interaction correction for each crystal by combining tau i and eta i.

The present invention relates to a system and a method for achieving consensus between multiple parties (A, B, C) on an event and / or order of events (1 . . . 5) at high speed by verifying and voting on events by creating a voting event referencing one or multiple other events individually or as a group of events.

The invention provides a positron emission tomography device and method. The device comprises a detector system module and a computer system module which are detachably connected. The detector system module comprises a clock module, a detector, a switch and a power source; according to the computer system module, a detector configuration module and the detector are in detachable communication connection so as to perform parameter configuration on the detector; the input end of an imaging information obtaining module and the switch are in detachable communication connection so as to receive imaging information data; a pulse information analysis and processing module and the imaging information obtaining module are in communication connection so that the imaging information data can be converted into pulse time, energy and position information; a coincidence event screening module and the pulse information analysis and processing module are in communication connection and the pulse time, energy and position information can be converted into coincidence event pair information; an image rebuilding module performs image rebuilding. The device and method are applicable to a PET imaging system meeting any individual requirement, and rapid imaging for specific applications can be achieved at any time and any place.

The invention discloses an event-driven state-oriented self-adaptive sensor organizational method which comprises the steps that 1) an one-event multi-mode response model is set, and an event is divided into a plurality of levels; 2) when node acquisition data are in a sampling value section corresponding to an event of a certain level, an event message is structured to be broadcast to the internet of things; 3) after the event message is received by other nodes, if the local caches the event message is judged, if yes, the message is ignored, if not, the event message is cached in the local and the response level and report frequency of the event message are determined, and meanwhile the node identification and address are added to a message route list for subsequent broadcast; 4) a laminated multi-way tree structure is structured according to node levels, and a complete link is structured for the event; 5) the node in the complete link transmits the data of the event to the higher level node according to the data report frequency corresponding to the response level of the node until the data are sent to the sink node. According to the method, multi-mode response of nodes and network quick organization are achieved.

The invention discloses a sensor network based on event bank triggering reporting. The sensor network comprises a network and a monitoring terminal. The monitoring terminal is provided with a sensor unit, a data processing unit, a communication unit and a power supply. The sensor unit is connected with the data processing unit and is used for sending data collected by the sensor unit to the data processing unit. The data processing unit achieves communication through the communication unit and the network. The power supply is used for power feeding. The data processing unit comprises an event bank which stores events which need real-time responding of a system and a response method corresponding to the events. When the events are not triggered, the sensor unit carries out high-density collecting on data, the data are stored in the data processing unit, timing uploading is carried out, or when network instruction checking is passed, the data are uploaded in a batch mode, and accordingly power loss of the sensor network is lowered. When the events are triggered, the sensor network processes the events preferentially, and accordingly real-time performance is guaranteed.

Automatically extracting profile feature attribute data from event data is disclosed, including: receiving a set of event data; receiving a feature associated with a profiling technique; determining that a plurality of events associated with a user in the set of event data corresponds to a first attribute corresponding to the feature, wherein the first attribute corresponds to a first bin having a first defined value; determining that the plurality of events associated with the user in the set of event data corresponds to a second attribute corresponding to the feature, wherein the second attribute corresponds to a second bin having a second defined value; and creating a user record corresponding to the user indicating presence in the first bin and the second bin.

In one embodiment, and in response to an ordered sequence of events corresponding to execution of a plurality of tests on at least one device under test (DUT), 1) a plurality of data objects are created, the data objects including A) some data objects that correspond to logical groupings of test results implied by ones of the events, and B) a generic data object that corresponds to a user-defined one of the events; 2) ones of the data objects are related to others of the data objects in a hierarchical tree structure, with the generic data object being related to others of the data objects based on the position of the user-defined event in the ordered sequence of events; and 3) data corresponding to ones of the events is related to ones of the data objects in the hierarchical tree structure. A number of data formatters are provided access to the plurality of data objects and data associated with the hierarchical tree structure. Other embodiments are also disclosed.

The invention discloses an event detection method and device, electronic equipment and a storage medium. The city management event detection method comprises the following steps: acquiring video stream data of a preset scene area, and acquiring at least one key frame image according to the video stream data; detecting whether a scene target corresponding to the event exists in the at least one keyframe image or not; obtaining the actual position and / or the stay duration of the scene target in the preset scene area; and judging whether the event corresponding to the preset scene area occurs ornot according to whether the scene target exists or not and according to the actual position and / or the stay duration. According to the invention, whether the corresponding event occurs or not is judged through the recognition of the scene target in combination with the space-time information of the scene target in the preset scene area, so that the misjudgment rate is reduced, and the detectionaccuracy can be improved.

The invention discloses a cross-block-chain interaction method and system, computer equipment and a storage medium, the method is applied to the cross-block-chain interaction system, the system comprises a first block chain and at least one second block chain, the first block chain corresponds to a first interaction server and a first interaction client, At least one second block chain is loaded with the first interaction client. The method comprises the steps: enabling a first interaction server to monitor an on-chain event of the first block chain; when the on-chain event is monitored, determining a target second block chain for registering the on-chain event according to the event registration record of the at least one second block chain; determining transaction certification information corresponding to the on-chain event, and sending the transaction certification information to a first interaction client loaded by a target second block chain; and enabling the first interaction client loaded by the target second block chain to perform verification according to the transaction proof information, and sending uplink information to the target second block chain after the verification is passed. According to the invention, the cross-chain intercommunication efficiency between the block chains is improved.

A processor unit is incorporated in a vehicle as an engine control unit (ECU). In the ECU, in response to occurrence of an event, an activation request program requests a real time operating system to activate a task that includes an event process corresponding to the event. The event processes corresponding to cyclic events, which occur in synchronous with the engine cycle or at regular intervals, are included in dedicated tasks each of which is created as one of the tasks for executing only one event process. Therefore the activation request program does not need to store the ID of the event process in a queue when it requests activation of a dedicated task. Further, when a dedicated task is activated by the RTOS, it can identify an event process to be executed without retrieving the ID of the event process from the queue.

The embodiment of the invention provides a neural network system and method for carrying out risk evaluation on an operation event. According to the scheme, firstly, an event sequence is obtained, theevent sequence comprises a plurality of operation events composed of a current operation event and historical operation events, and each operation event has multiple parts of corresponding attributeinformation; for each operation event, converting the multiple parts of attribute information of the operation event into multiple corresponding feature vectors, and performing first vector combination on the multiple feature vectors to obtain a first embedded vector corresponding to the operation event, the first vector combination comprising N-order inter-vector combination operation; and then performing second vector combination on the plurality of first embedded vectors corresponding to the plurality of operation events to obtain a second embedded vector corresponding to the event sequence. And processing the second embedded vector to obtain a processing vector, and determining a risk evaluation result of the current operation event at least according to the processing vector.

The invention discloses a network attack display method and device, and the method comprises the steps: obtaining event basic information of a security alarm event, wherein the event basic informationcomprises the address of an event generation place, the address of an attack source, and the address of an attack target; according to the event basic information, determining an attack path from theattack source to the attack target through an event occurrence site corresponding to the security alarm event; and displaying the attack path in the form of a visual link. According to the embodimentof the invention, causes and effects of the security alarm event is displayed to an operator, so that security-related personnel can perform security analysis more conveniently to discover a securitythreat attack.

The invention discloses a personalized event recommendation method and system fusing theme matching and bidirectional preferences. The method comprises the following steps: firstly, extracting theme information of an event and historical events in which a user participates by utilizing a document theme generation model LDA, and calculating a theme matching degree between the user and the event; secondly, for event-based social network recommendation, considering from the two-way perspective of users and events, constructing preference models of the users and the events, respectively obtaininguser preference scores and event preference scores, and more completely mining preference relationships from the two perspectives of the users and the events; and finally, fusing the user-event pair matching degree with the user-event bidirectional preference linear weighting combination to obtain a final user-event pair comprehensive score, and taking the sorted TOP-K user-event pairs as recommendation results. According to the scheme, the performance of the recommendation algorithm is superior to that of a traditional recommendation scheme, the personalized preference of the user can be wellpredicted, and therefore the purpose of personalized recommendation is achieved.

The invention relates to methods and devices for locating partial discharges in electric cables, comprising a high-voltage source which is coupled to the cable to be tested, an outcoupling unit which is connected to one end of the cable, and a data processing system which is connected to the outcoupling unit via a sensor unit and which ascertains a partial discharge or partial discharges from the sensor signals when present. The methods and devices are characterized in particular by a short analysis duration of the locating process. This is achieved by detecting events, parameterizing the events detected as pulses, pairing the parameterized events which are detected as pulses, classifying the event pairs, assigning a partial discharge on the basis of the classification, and determining the location of the partial discharge(s) from the delay between the respective partial discharge and the reflection corresponding to the partial discharge.

The invention provides a cloud-based IOT monitoring method and system. The method comprises the following steps: generating and storing event resources and action resources corresponding to IOT equipment; providing an interactive interface at a cloud side or an equipment side linked to the cloud side; responding to operations of event display units on the interactive interface and action display units on the interactive interface from outside, transferring the event resources and the action resources, and forming a rule in combination with the user-defined attribute, wherein each event display unit corresponds to one event determined through the event resources; and each action display unit corresponds to one action determined by the action resources; and controlling the corresponding first kind of equipment to complete corresponding actions when real-time data of the rule and the IOT equipment satisfy the triggering condition of the rule.

The invention discloses an interaction control method, a reuse calling method andan interaction control system and a storage medium. The interaction control method comprises the steps: executing and displaying a current task event on a graphical user interface; checking a trigger operation for the current task event on the graphical user interface, and triggering to generate request information; obtaining template data corresponding to the temporary task event from a preset target file according to the request information, generating a floating window on the graphical user interface, and loading the template data in the floating window; in response to an editing operation of a user on the template data in the floating window, starting an edited temporary task event in a task flow of the current task event; and controlling to close the floating window to return to the graphical user interface where the current task event is located. According to the method, the temporary task event canbe conveniently inserted into the task flow of the current task event, the tedious operation of switching the task event in the past can be avoided, and the use experience of a user on the terminal equipment is improved.

The invention discloses a Linux interprocess communication method, comprising the following steps: S11: polling a message in a message queue in a core process; S12: analyzing the message in the core process and determining whether the message is event information of a registered event; S13: when determining that the message is the event information of the registered event, searching for an event management link table according to the event information, and obtaining all process numbers for monitoring the registered event; and S14: awakening all processes for monitoring the registered event according to the process number in the core process, and invoking an event processing function corresponding to the registered event in each process according to the event processing function link table. The invention realizes Linux system interprocess lightweight communication by using the event broadcast mechanism, and saves resources of the system while increasing stability of the system.