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463 results about "Event sequence" patented technology

Quantitative risk assessment system (QRAS)

A quantitative risk assessment system (QRAS) builds a risk model of a system for which risk of failure is being assessed, then analyzes the risk of the system corresponding to the risk model. The QRAS performs sensitivity analysis of the risk model by altering fundamental components and quantifications built into the risk model, then re-analyzes the risk of the system using the modifications. More particularly, the risk model is built by building a hierarchy, creating a mission timeline, quantifying failure modes, and building / editing event sequence diagrams. Multiplicities, dependencies, and redundancies of the system are included in the risk model. For analysis runs, a fixed baseline is first constructed and stored. This baseline contains the lowest level scenarios, preserved in event tree structure. The analysis runs, at any level of the hierarchy and below, access this baseline for risk quantitative computation as well as ranking of particular risks. A standalone Tool Box capability exists, allowing the user to store application programs within QRAS.
Owner:NAT AERONAUTICS & SPACE ADMINISTATION U S GOVERNMENT AS REPRESENTED BY THE ADMINISTATOR +1

System and method for automatic speech to text conversion

Speech recognition is performed in near-real-time and improved by exploiting events and event sequences, employing machine learning techniques including boosted classifiers, ensembles, detectors and cascades and using perceptual clusters. Speech recognition is also improved using tandem processing. An automatic punctuator injects punctuation into recognized text streams.
Owner:SCTI HLDG INC

Apparatus and method for analyzing an automated response system

A system for analyzing an interactive voice response (IVR) system of a call processing center determines a complete sequence of events occurring within the IVR system. The IVR system being operable to automatically accept calls from callers and respond to input from the callers. The system models a call flow of the IVR system as a non-deterministic finite-state automaton. A recording of a plurality of calls to the call processing center is split, such that each of plural calls to the call center is in one audio file. For a plurality of calls, the system detects a complete sequence of DTMF and / or speech input to the IVR system, detects selected prompts issued by the IVR system, and inputs the detected sequence of DTMF and / or speech input as well as the detected prompts issued by the IVR system into the finite-state automaton to determine a call-event sequence for that call. The call-event sequence includes information regarding how that call left the IVR system.
Owner:VERIZON PATENT & LICENSING INC +1

System and method for analyzing a pattern in a time-stamped event sequence

Preferred embodiments and implementations include a system and method for determining distinct occurrences of a pattern in a sequence of time-stamped event instances by determining a maximum cardinality of disjoint occurrences of the pattern in the one or more sequences. The invention also includes estimating an expected quantity of distinct occurrences of a pattern in a sequence of time-stamped events assigned to event categories. The invention further includes identifying a surprise pattern within a sequence of time-stamped events.
Owner:THE BOEING CO

Synchronized light shows on cellular handsets of users at a gathering

Light shows are produced by a plurality of individuals at a gathering using a plurality of personal wireless cellular devices wherein each device is carried by a respective individual and wherein each device has a programmable digital processor and a controllable light show illumination source. A light show application program resides on each personal wireless cellular device for providing coordinated control of the light show illumination sources. An event server stores at least one event sequence corresponding to a predetermined gathering and including at least one timed action. The event sequence is downloadable by the plurality of personal wireless cellular devices for activation of the controllable light show illumination sources in accordance with the event sequence. The system further includes a synchronizer in each device for initiating the timed action. The synchronizer may be a clock or a proximity detector (such as a Bluetooth connection with nearby users).
Owner:SPRINT CORPORATION

Method for splitting news video program, and method and system for cataloging news videos

The invention discloses a method for splitting a news video program and a method and a system for cataloging news videos. The method for splitting the news video program comprises the following steps of: sequencing detection results according to a time sequence to obtain an event sequence by detecting characteristic information of titles of the news video, a headline, characteristic information of comperes, lens transformation, a mute point of an audio, a switching point, a keynote period sudden change point and the like; briefing the event sequence by adopting a preset symbol set and a production rule, and judging rough positions of start points and end points of news sections in the event sequence; calculating a union posterior probability of a start position of each news section near the rough start position according to the event sequence, selecting the moment with the maximum posterior probability as the accurate start position of each news section, splitting the news video, and thus obtaining the news video sections. According to the method, the adopted algorithm is stable and effective; the structural information in the news video can be summarized effectively; the accurate positions of splitting points of the news sections can be determined; and the news video can be split stably and accurately.
Owner:北京新岸线网络技术有限公司

Online log analysis method

The invention provides an online log analysis method, which comprises the following steps of: acquiring a log file from each node of a cluster system on line; defining an event sequence and an event correlation rule according to the log file, counting unitary event sequences, searching out a frequent unitary event sequence set, and obtaining a binary frequent event sequence candidate set C (2); performing statistics on support degree counting and posterior degree counting of the candidate binary frequent event sequence in the C (2), and calculating the degree of confidence and posterior degree; generating a binary frequent event sequence set F (2) and a binary rule set R (2); repeating the process until F(k) and R(k) are obtained, performing join operation on k-element frequent event sequences in the F(k), and generating an F(k+1)-element frequent event sequence set; performing approximate calculation on attribute values of elements which are not in R(k+1) but in F(k+1), until all frequent event sequences are generated; finding the event correlation rule according to the frequent event sequences; and predicting events in the log according to the event correlation rule on line.
Owner:INST OF COMPUTING TECH CHINESE ACAD OF SCI

System and Method for Generating Achievement Objects Encapsulating Captured Event Playback

A method is provided for automatic generation of achievement objects corresponding to the achievement of a user in a computer implemented game which encapsulates renderable event sequence data defining a sequence of events graphically illustrating the achievement of the user. The generation of renderable event sequence data and the creation of achievement objects may be in automatic response to the detection of an achievement by a user within the context of the computer implemented game. Achievement objects, once generated, may be posted to a news feed or an electronic leaderboard for viewing by users of an online gaming community. In some embodiments, achievement objects may be customized such as through an editor interface that facilitates insertion of text, video, or audio comments. Achievement objects may also be commented on in the form of other achievement objects, having their own renderable event sequence.
Owner:ZYNGA

Generating complex event processing rules utilizing machine learning from multiple events

ActiveUS8078556B2Improve system performanceSystem support costs and system downtime can be reducedDigital computer detailsChaos modelsFeature vectorComplex event processing
A novel and useful mechanism enabling a standard learning algorithm to generate rules for complex event processing (CEP) systems. The method creates rules that infer previously defined output events by creating input event feature vectors for each targeted output event. In addition, a method for automatically generating CEP system rules to infer output events which are anomalies (i.e. statistical outliers) of input event sequences is disclosed. Input feature vectors consisting of multiple input events and parameters for each targeted output event are then input into a standard learning algorithm to generate CEP system rules.
Owner:INT BUSINESS MASCH CORP

Methods and systems for history analysis for access paths in networks

A method and system for constructing and analyzing an access path event history in a network is provided. Inconsistencies in the physical and logical access paths when making changes in the network are detected and analyzed. Component events associated with network appliances are recorded and an event sequence is constructed. Root causes for the inconsistencies are identified and the access paths are repaired in conformance with the network access path policy. The method and systems can be applied to networks in general, and more particularly to storage area networks (SAN).
Owner:NETWORK APPLIANCE INC +1

Subjective and statistical event tracking incident management system

A method includes logging past event sequences in a knowledge base, receiving a real-time event sequence, comparing the real-time event sequence to the past event sequences to determine a predicted event sequence for the real-time event sequence, and providing the predicted event sequence, a suggested course of action with predicted outcome, and a recommendation of a user who previously encountered the event sequence. In the above manner, use of subjectively characterized and / or raw historic data to match real-time event sequences provides users with both subjective advice from those who had previously faced similar conditions as well as raw statistical predictions as to what is expected to come next. This allows the users to take a course of action that results in the most desirable outcome.
Owner:CA TECH INC

System and methods for assessing risk using hybrid causal logic

A hybrid causal framework applies properties of probabilistic models, such as Bayesian belief networks, to causal logic models, such as fault trees and event sequence diagrams. The probabilistic model establishes a joint probability distribution of causal relationships between events and conditions in the logic models. The probability of the events and conditions are found by propagating probabilities from the probabilistic model through the logic models.
Owner:MARYLAND UNIV OF

Apparatus and Method for Deriving Idle Mode Parameters for Cell Selection/Reselection

An apparatus, system and method for deriving idle mode parameters for cell selection / reselection in a communication system. In one embodiment, the apparatus includes a measurement manager configured to provide an event sequence estimating communication channel performance between a user equipment operable in an active mode emulating an idle mode and at least one of a serving base station and a target base station. The apparatus also includes a cell selection / reselection subsystem configured to select / reselect the target base station for the user equipment operable in the idle mode employing an idle mode parameter derived from a plurality of event sequences at the serving base station.
Owner:NOKIA CORP

Medical guide information service system based on event driving and work method thereof

The invention relates to a medical guide information service system based on event driving, which is additionally provided with the following devices on the basis of a wired local area network and a wireless local area network in a hospital: a medical guide application server connected with a business database, a HIS (Hospital Information System) interface terminal for establishing information interaction relationship for the system and a HIS, and a communication interface terminal for establishing information interaction relationship for the system and a mobile communication network, wherein the medical guide application server is provided with four units including a business flow control unit, a data processing flow control unit, an intelligent analysis unit and a policy management unit, as well as three data interface units respectively connected with the business database, the HIS interface terminal and the communication interface terminal. The medical guide information service provided by the system is characterized by centering on decreasing the waiting time of the patients and providing the internal medical guide information of the hospital according to the medical service event sequence of the patients in the diagnosis and treatment process so that the patients can complete the whole diagnosis and treatment process by getting to the diagnosis and treatment departments, the laboratory, the pricing and paying window or the dispensing window via suitable paths at the right time.
Owner:WUXI BUPT SENSING TECH & IND ACADEMY +2

Behavioral abstractions for debugging coordination-centric software designs

A behavioral abstraction is, in an abstract sense, a generalization of an event cluster. Behavioral abstraction is a technique where a predetermined behavioral sequence is automatically recognized by the simulator in a concurrent stream of system events. A behavioral sequence is at its most basic level a partial order of events. However, the events considered in a behavioral sequence are subject to configuration-based filtering and clustering. This allows a designer to create a model for a particular behavior and then set up a tool to find instances of the particular behavior in an execution trace. Behavior models are representations of partially ordered event sequences and can include events from several components.
Owner:HINES KENNETH J

Multi-event sequential recording and testing system

The invention discloses a record and test system of multiple-event sequence, which is characterized by the following: adapting on-site CAN bus to do communication connection; recording the sequence of happening time corresponding to the condition deflection when the monitored object occurs SOE case. The system contains a case of GPS, main station computer, at lest two middle controllers, at least two communication servers and at least four SOE substations, wherein the GPS provides time mark; the computer sends clock signal A to all middle controllers, which select one controller as datum clock station to send time setting signal B,C to other middle controllers and all substations; the communication server transmits clock signal A to all SOE substations to affirm and record SOE event; the millisecond clock in the SOE substation is started by signal C to generate millisecond clock signal D and integrate with A to form clock signal E of SOE substation, which judges and uploads SOE event. The invention confines the synchronous and monitoring resolution error not more than 1 millisecond.
Owner:杨卫民 +2

Systems and methods for identifying and counting instances of temporal patterns

Systems and methods for instance counting and for the identification of a temporal pattern in an event sequence. The system addresses the use of “earliest-first” and “no-reuse” policies as criteria for the correctness of counting. The system also achieves higher performance than conventional methods by utilizing incremental computation.
Owner:TREND MICRO INC

Method and apparatus for monitoring a communication link based on TCP/IP protocol by emulating behavior of the TCP protocol

A method and apparatus for monitoring a communication link based on TCP / IP protocol obtains a protocol data unit (PDU) between communication systems. A emulation log is produced by analyzing the PDU in a PDU analysis part. An event sequence log is produced by estimating an event sequence of both communication systems based the emulation log in an event sequence estimation part. The behavior and the internal procedure of TCP is emulated by using the specific TCP state transition specification, internal variables of TCP, internal variables indicating the status and internal procedures in the TCP emulation part.
Owner:KDDI CORP

Displaying a visualization of event instances and common event sequences

A method, system and computer readable article of manufacture for displaying visualization from an event log. According to the method, sequences are extracted from the event log. The event log is a record of a plurality of events that occurred. A sequence graph is generated from the sequences. The sequence graph includes nodes representing the events of the event log and the events of each node have a common property. A sequence graph visualization is displayed from the sequence graph. The sequence graph visualization includes (i) node icons representing the nodes of the sequence graph, (ii) node transition icons representing relationships between nodes, and (iii) an event icon for each of the one or more events of a corresponding node.
Owner:IBM CORP

Apparatus for and Method of Generating Complex Event Processing System Rules

A novel and useful mechanism enabling a standard learning algorithm to generate rules for complex event processing (CEP) systems. The method creates rules that infer previously defined output events by creating input event feature vectors for each targeted output event. In addition, a method for automatically generating CEP system rules to infer output events which are anomalies (i.e. statistical outliers) of input event sequences is disclosed. Input feature vectors consisting of multiple input events and parameters for each targeted output event are then input into a standard learning algorithm to generate CEP system rules.
Owner:IBM CORP

Method and system for partial occlusion handling in vehicle tracking using deformable parts model

Provided is a method and system of tracking partially occluded objects using an elastic deformation model. According to an exemplary method and system, partially occluded vehicles are detected and tracked in a scene including side-by-side drive-thru lanes. A method for updating an event sequence includes acquiring video data of a queue area from at least one image source; searching the frames for subjects located at least near a region of interest (ROI) of defined start points in the video data; tracking a movement of each detected subject through the queue area over a subsequent series of frames; using the tracking, determining if a location of the a tracked subject reaches a predefined merge point where multiple queues in the queue area converge into a single queue lane; in response to the tracked subject reaching the predefined merge point, computing an observed sequence of where the tracked subject places among other subjects approaching an end-event point; and, updating a sequence of end-events to match the observed sequence of subjects in the single queue lane.
Owner:CONDUENT BUSINESS SERVICES LLC

Misdeclaration self-adapting network safety situation predication method

ActiveCN104486141ATroubleshooting False Positive EliminationImprove reliabilityData switching networksNeural network learningDependability
The invention relates to a misdeclaration self-adapting network safety situation predication method, comprising the following steps: (1) extracting alarm events in a safety protection software; (2) eliminating misdeclaration in the alarm events based on a system host and network abnormal information to form an exact training sample set; (3) training the sample set by using a neutral network learning algorithm to build a predication model; (4) performing on-line predication and confirming the predication result; (5) if the predication result is misdeclaration, marking the current predication event sequence to be negative example, implementing increment neutral network learning and adjusting the predication model. By utilizing the method, the problems that too much many misdeclaration exist in the network safety situation predication and cannot be eliminated automatically are solved, the network safety situation predication model training sample set is built exactly, the predication model is built effectively, the predication result is confirmed automatically to eliminate the misdeclaration and adjust the predication model automatically, the number of misdeclaration generated in subsequent predication is reduced, and the reliability and practicability of the method are enhanced.
Owner:STATE GRID CORP OF CHINA +3

Method and system for information processing and test care generation

A method and system for information processing and test case generation. The system includes: a pattern storage module for storing at least one resource identifier patterns, where the resource identifier patterns are extracted from a server code of a web application by analyzing the server code; a client code analyzer module for analyzing a client code generated from the server code and finding at least one event sequences matching with the resource identifier patterns; and a test case generator module for fetching a client state established from the client code, executing the event sequences on the client state, and generating a test case, where the test case includes a second resource identifier generated as an execution result of the event sequence.
Owner:IBM CORP +1

Video tracking based method for automatic sequencing of vehicles in drive-thru applications

A method for updating an event sequence includes acquiring video data of a queue area from at least one image source; searching the frames for subjects located at least near a region of interest (ROI) of defined start points in the video data; tracking a movement of each detected subject through the queue area over a subsequent series of frames; using the tracking, determining if a location of the a tracked subject reaches a predefined merge point where multiple queues in the queue area converge into a single queue lane; in response to the tracked subject reaching the predefined merge point, computing an observed sequence of where the tracked subject places among other subjects approaching an end-event point; and, updating a sequence of end-events to match the observed sequence of subjects in the single queue lane.
Owner:CONDUENT BUSINESS SERVICES LLC

Generation and exploitation of an approximate language model

A system, method, and computer program for generating and exploiting an approximate language model are provided. The method comprises generating a language model according to an approximate hashing technique. The language model comprises a plurality of event sequences in a target language, and each member of the plurality of the event sequences is associated with at least one count. The language model is queried for a member of the plurality of event sequences. A probability associated with the member of the plurality of event sequences is determined based on results of the query.
Owner:SDL INK

Time series data event prediction method and system based on graph convolutional neural network and application thereof

The invention discloses a time series data event prediction method and system based on a graph convolutional neural network and application of the time series data event prediction method and system,and the method comprises the steps: converting time series data after data cleaning into event sequence data at a preset time interval, and obtaining vector representation of an event and an event set; taking an event set contained in each piece of sequence sample data in the event sequence data at the last moment as a prediction target, and taking the prediction target as a corresponding sequencesample label to obtain labeled event sequence data; and when the graph convolutional neural network model is trained to meet a preset convergence condition, testing a model prediction effect by usingthe test set, and taking the model of the test effect as a final event prediction model. The method can make up for the defects that the traditional method has high requirements on data quantity andquality and cannot fully utilize the knowledge graph.
Owner:XI AN JIAOTONG UNIV
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