292 results about "Offline analysis" patented technology

A digital computer and method for processing data indicative of images of facial and head movements of a subject to recognize at least one of said movements and to determine at least one mental state of said subject is provided. The outputting instructions for providing to a user information relating to at least one said mental state. A further processing data reflective of input from a user, and based at least in part on said input, confirming or modifying said determination and generating with a transducer an output of humanly perceptible stimuli indicative of said at least one mental state.

An implantable medical device and method are provided for assessing autonomic tone and risk factors associated with arrhythmias and, based on this assessment, an early recurrence of ventricular tachycardia or ventricular fibrillation is predicted. Specifically, changes in R—R interval, heart rate variability, patient activity, and myocardial ischemia are measured prior to and after a detected an arrhythmia episode. A recurrence score is calculated as a weighted sum of measured parameters and compared to a prediction criterion. The prediction criterion may be a preset threshold score or an individualized episode template based on previously calculated recurrence scores associated with recurring episodes. Stored parameters and episode-related data may be downloaded for offline analyses for optimizing prediction criteria and monitoring patient status.

An optimizer for messaging systems learns the purpose and context of each message and combines that information with knowledge of the specific client that will be rendering the response, such as a specific HTML browser. Any of a number of optimization factors can be applied, singly or in any combination. Messages are analyzed offline until a configurable threshold is reached, indicating that enough data has been sampled to develop a valid instruction set, to be applied to the responses that a server generates for a particular request. Responses are parsed into tokens and instructions for each type of token are compiled into instruction sets that are stored. These instructions sets continue to be iteratively improved as more data is collected, until the configurable sampling threshold is reached.

A system and method for analyzing Java thread deadlocks. A snapshot of threads in a Java Virtual Machine is generated, producing a thread dump file which can be analyzed offline. The thread dump file is optimistically parsed to identify threads which are deadlocked. A user is provided with an interface to select filtering rules for the threads, resulting in a set of filtered threads which are candidates for being in infinite wait conditions.

This invention relates to a PMU-based controlled system separation method to protect against a catastrophic blackout. The method includes the steps of performing an offline analysis of an electrical transmission network to partition generators into a number of coherent groups, performing online monitoring of the transmission network to determine a separation interface and frequencies and damping ratios of dominant inter-area modes, and estimating the risk of system separation to perform real-time control.

The invention provides a massive log data intelligent operation and maintenance system. The system comprises a log collecting module, a log processing module, a log storage module and a business application module, wherein the log collecting module is used for collecting application logs, operation system logs and network equipment logs on a target machine, structuring log data and then outputtingthe log data to the log processing module; the log processing module is used for real-time processing and offline processing, real-time processing comprises real-time statistics, real-time alarming and real-time analysis, and offline processing comprises data batch storage, offline analysis and machine learning; then the processed information is sent to the log storage module; the log storage module is used for storing original log data, index data, statistical analysis data and resource configuration data, and comprises a MySQL relation database, a Redis memory database, an Elastic search engine and an HBase column storage database; the business application module is used for providing functions of inquiry statistics, monitoring and alarming, intelligent reports, instrument panels and knowledge bases through a web interface, and the data is read out from the log storage module.

Adaptive processing of an input signal is achieved by offline analysis, with inline processing comprising an adaptive filter. The method comprises passing the input signal through an adaptive time domain filter to produce an output signal. The input signal and / or output signal is used as an offline analysis signal. The analysis signal is transformed into a transform domain (eg frequency domain) to produce a transformed analysis signal. The transformed analysis signal is analysed, for example by ADRO, to produce a plurality of desired gains each corresponding to a respective transform domain sub-band. A time domain filter characteristic is synthesised to at least approach the desired gains. The adaptive filter is updated with the synthesised filter characteristic. Minimum phase adaptive filter techniques are found to possess particular benefits in this scheme.

A system, device, and method for managing service level agreements in an optical communication system uses an optical service agent to manage a service level agreement (SLA) for a user. The optical service agent can perform both real-time and off-line analysis for the user, and can interact with various network elements (including the core optical communication network) to handle billing, penalty, and other issues associated with a SLA breach. Among other things, the optical service agent may monitor and analyze a connection in real-time for determining SLA compliance, gather and maintain statistical information relating to a connection, analyze the statistical information off-line for determining SLA compliance, patterns, and trends, interact with a service provider to enforce penalty provisions in the SLA, interact with a service provider to negotiate a credit for services not provided by the service provider in accordance with the SLA, interact with a service provider to negotiate “replacement” services for a breach of the SLA, interact with various network elements to rectify a breach of the SLA, interact with the service provider to dynamically modify the SLA based upon changing user requirements, and interface with a billing / accounting system to provide SLA-related information.

An efficient method and system for real-time or offline analysis of multivariate sensor data for use in anomaly detection, fault detection, and system health monitoring is provided. Models automatically derived from training data, typically nominal system data acquired from sensors in normally operating conditions or from detailed simulations, are used to identify unusual, out of family data samples (outliers) that indicate possible system failure or degradation. Outliers are determined through analyzing a degree of deviation of current system behavior from the models formed from the nominal system data. The deviation of current system behavior is presented as an easy to interpret numerical score along with a measure of the relative contribution of each system parameter to any off-nominal deviation. The techniques described herein may also be used to “clean” the training data.

The invention provides an on-line sugar concentration real-time detection system aimed at problems of low sampling speed of a small-scale biochemical reactor and lag of sugar concentration on-line detection. The system is mainly composed of an embedded module, a touch screen, a constant flow pump, an on-line sugar concentration analyzer, an off-line sugar concentration analyzer and the like. The touch screen is a man-machine interface and receives arrangement and operation of on-site personnel. The embedded module controls the flow rate of the constant flow pump and the action of the sugar concentration analyzers as a control unit of the system, collects the sugar concentration detection values of the on-line sugar concentration analyzer, performs on-line correction to the collected values, obtains accurate sugar concentration detection values in the biochemical reactor, and can amend model parameters according to the values of the off-line sugar concentration analyzer. The system integrates the information of the off-line analyzer and the on-line analyzer, combines the advantages of accuracy of off-line detection and real time of on-line detection, and is suitable for real-time detection of some small-scale biochemical reactors.

The invention discloses a state monitoring and fault diagnosis system of a gas turbine generating unit and a use method of the state monitoring and fault diagnosis system. The state monitoring and fault diagnosis system comprises a vibration monitoring module and a network module of a control system of the unit, a signal acquisition module and a computer which is provided with a LabVIEW platform, wherein a state performance signal is transmitted to the computer by the network module; the signal acquisition device is provided with a signal acquisition circuit and a signal processing circuit; a vibration signal output by the vibration monitoring module is acquired by the signal acquisition circuit, is processed by the signal processing circuit and is then transmitted to the computer; data acquisition is performed after an acquisition channel of the signal acquisition circuit is set by the LabVIEW platform; the LabVIEW platform comprises a real-time analysis module, an off-line analysis module and a fault diagnosis module; on-line monitoring and analysis are performed on the state performance signal and the vibration signal by the real-time analysis module; off-line analysis is performed on recorded data by the off-line analysis module; and fault diagnosis is performed on the unit by the fault diagnosis module. The state monitoring and fault diagnosis system is easy to operate and high in diagnosis accuracy and efficiency and can be applied to state monitoring and diagnosis of each turbine generating unit.

The invention discloses a workpiece grabbing method for a robot based on the integration of vision and an environmental attraction domain. The method comprises two phases of offline analysis and online grabbing; in the offline analysis phase, environmental constraint domains are established based on a gripper and the CAD model of a workpiece, the high-dimensional environmental constraint domains are decomposed into a plurality of subspaces with three dimensions or less, and the local lowest point of each constraint domain in the subspaces, so that the grabbing state can be stabilized; in the online grabbing phase, a camera is utilized for capturing a single image, the position and posture of the workpiece are recognized, routes from the initial state to the high-dimensional environmental constraint domains are planned through computing, and a computer outputs track points and controls the robot the move and stably grab the workpiece. The invention further discloses a robot grabbing system for implementing the method.

The invention relates to a low-frequency oscillation monitoring technology of a large-scale electrical network on the basis of a wide area measurement system (WAMS). The invention combines the advantages of various real-time analysis algorithms in allusion to the limitation that the low-frequency oscillation monitoring system in prior art only can perform offline analysis, so as to disclose an online low-frequency oscillation monitoring system of an electrical network to realize the online monitoring and analysis of the low-frequency oscillation of the electrical network. The low-frequency oscillation monitoring system of the electrical network of the invention is a software function module based on a traditional WAMS system, and comprises a system management module, a data communication module, a real-time monitoring module, a data analysis module and a database module. The invention realizes the real-time recording, real-time displaying and stable analysis functions of the low-frequency oscillation data in the electrical network, and is mainly used for the monitoring and analysis of the large-scale electrical network.

The invention discloses an Internet of Things big data analysis method based on stream computing and novel column storage, and belongs to the technical field of Internet of Things big data analysis. The method comprises the following steps: firstly, carrying out communication protocol conversion on acquired data to obtain a unified data format, transmitting the unified data format into a message queue, and then transmitting the unified data format into a distributed stream computing framework Flink; then, the flow calculation framework Flink carries out data statistics, data aggregation and analysis on the data and then writes the data into Kudu in real time; calling an original interface (Scan) of the Kudu to carry out batch offline analysis on the data stored in the Kudu; by means of thebig data storage and analysis method based on the Internet of Things, the problems that according to an existing big data storage and analysis method of mass equipment information in the field of Internet of Things, single data updating cannot be conducted while batch data are analyzed, the throughput is small, and limitation is large are solved. The big data storage and analysis method based onthe Internet of Things solves the problem that the existing big data storage and analysis method of mass equipment information is high.

The invention provides an automatic ultrasonic phased array scanning device used for a large-size curved-surface component. The automatic ultrasonic phased array scanning device comprises a driving component, a steering component and a processor assembly of a control part, a sensor and an energy converter component of a detection part, and a power supply, a coupling agent storage tank, a low-pressure pump, a main case, a roller brush component and a base plate of an auxiliary part, wherein the steering component is provided with a distance sensor and a pressure sensor; and the energy converter component is provided with an automatic height and curvature adjusting device. Automatic scanning and stoppage of the device in a direction shaped like a Chinese character 'gong' can be realized by controlling the driving component and the steering component with a sensor feedback control function. The posture of an ultrasonic phased array energy converter is automatically adjusted by the energy converter component so that the ultrasonic phased array energy converter can be coupled with the surface of the component; and online detection or offline analysis of an ultrasonic phased array can be realized by the processor assembly. The automatic ultrasonic phased array scanning device used for the large-size curved-surface component can be used for automatic ultrasonic phased array detection of important components of industries including aviation and aerospace, wind power and the like, is particularly suitable for horizontally-arranged small-curvature large-size components, and has the advantages of strong adaptability, high detection efficiency and the like.

The illustrative embodiment of the present invention is a unmanned aerial vehicle that includes a sensing system for the detection and limited identification of biological agents. The system is small, light weight, requires little power to operate and uses few consumables. The system incorporates elements that enable it to obtain an air sample, extract particulates from the air sample and retain them on a stationary-phase collection media, exposes the particulates to electromagnetic radiation, and monitor the particulates for fluorescent emissions. To the extent that fluorescent emissions are detected and exceed a predetermined value, an alarm is triggered. In some embodiments, in addition to performing real-time analyses on the extracted particulates, the collection media is removed from the system and the sample is subjected to more detailed analysis via additional equipment. Various sample-collecting regions on the collection media are “time stamped” or “location stamped” so that it can determined when and / or where each sample that is being analyzed “off-line” was obtained.

The invention relates to an online steelmaking continuous casting control method, belonging to the technical field of steelmaking continuous casting; the method comprises the following steps: an interface management server is in network connection with a site controller, and stores the acquired various state information and process data in a database after data processing and format conversion, and also stores the production method delivered by the upper system in the database; a database server stores the production site real-time process data, planning data and various system configuration data in the database; an application server executes the steelmaking continuous casting production online control method, acquires data from the database server and stores the regulation result in the database; a client workstation displays various data, conducts the query of routine data, stores the data in a local computer and accordingly realizes the offline analysis of data; the online steelmaking continuous casting control method has high solving speed, higher automation degree, can preciously adjust to minutes, reduce the manual adjusting times and molten steel redundant waiting time.

The invention provides an automatic visual analysis method of a big data platform. The method comprises the steps of extracting two-dimensional relation data table data generated by performing offlineanalysis on the Hadoop big data platform; performing offline analysis and real-time analysis to generate a relational two-dimensional table; performing a select query on fields of the two-dimensionalrelation table to obtain all table field columns; performing charting according to a relation between the fields; displaying a layout through an automatic customizing interface; and by taking data inthe relational two-dimensional table as a mainly presented dimension, performing visual presentation on the analyzed data. According to the method, the general adaptability of data value display of the big data platform is greatly improved; the data can be intuitively displayed before the eyes of a user through relevant chart views, so that the adaptability of data use is greatly improved, and the difficulty of acquiring core service data of the big data platform is lowered; and according to the requirements of services, the page layout and the chart customization are automatically carried out, so that the convenience of data analysis application and display is improved.

A process for identifying the location of a break in a scan chain in real time as fail data is collected from a tester. Processing a test pattern before applying it on a tester provides a signature enabling a method for a tester to identify a scan cell which is stuck during the time the tester is operating on a device under test rather than accumulating voluminous test data sets for delayed offline analysis.

The invention relates to a panoramic data analysis scheme of an intelligent transformer substation. In the scheme, network message recording, fault recording and synchronous phasor measuring equipment is integrally designed; in the aspect of message recording, the network online monitoring and message offline analysis of the intelligent transformer substation are realized, and various abnormal conditions of the network of the transformer substation are accurately positioned in real time; in the aspect of fault recording, the fault transient and regular recording of a power system is realized, and an important basis is provided for the judgment of the action behavior of grid fault analyzing, protecting and breaker equipment; and in the aspect of synchronous phasor measurement, the scheme carries out real-time dynamic safe monitoring on the power system, obtains a synchronous phasor by rapid and accurate measurement and provides basic data support for a wide area measurement system. The integrated design scheme realizes one-time configuration, and a running person maintains a set of system according to a set of standard, thereby fully meeting the new requirement on the intelligent transformer substation. The method of the invention is suitable for the panoramic data analysis of the intelligent transformer substation of the power system.

The techniques presented herein are directed towards providing a user-directed keyword-based search on a large collection of XML documents, and displaying a summary of results to the user. Prior to receiving search requests from a user, an offline analysis of a large collection of XML documents is performed to construct an inverted index of keywords. For each keyword, the index stores a set of location indicators that identify all the instances of the keyword found in the collection of documents. A location indicator may comprise a document identifier, an indication of the position of the node in the hierarchy of nodes within the XML document containing the keyword, and an indication of the pathname of the node containing the keyword. Once the index is constructed, keyword searching can be done efficiently by a keyword lookup in the index. Various display strategies enable the user to see the specific portion of a large XML document containing the keyword and / or path frequency information allowing the user to easily refine the search to specific paths within the collection of documents.

The invention discloses a method for optimizing an audio-visual cognitive event-related potential experimental paradigm. The method comprises the following steps of: on the basis of two first optimal Oddball sequences, performing combined stimulation of different matching modes of target stimulation and background stimulation modes on each subject respectively to induce a cognitive electroencephalographic experiment, establishing a plurality of second Oddball sequences, synchronously recording a plurality of second electroencephalographic signals, performing off-line analysis, and acquiring a plurality of second event-related potential data; acquiring the second Oddball sequence which corresponds to the second event-related potential data with the highest identification correct rate, wherein the second Oddball sequence is taken as a second optimal Oddball sequence of each subject; and gradually changing the appearance proportion of target stimulation, the duration and the stimulation interval of each subject in the second optimal Oddball sequence to induce cognitive electroencephalographic signals, acquiring a plurality of event-related potential data respectively, performing off-line analysis, and constructing an effective Oddball sequence scheme. The method is used for the auxiliary identification of the target stimulation, and can accurately position the target stimulation.

The invention discloses a user behavior analysis method and servers. The method comprises the steps of after booting a real-time analysis server, receiving historical user behavior data sent by an offline analysis server according to a first analysis result, wherein the first analysis result is an analysis result formed according to a first preset analysis strategy before the real-time analysis server boots; acquiring current user behavior data corresponding to current user behavior, wherein both the historical user behavior data and current user behavior data comprise user operations and operation objects which the user operations point at; and according to the first preset analysis strategy, analyzing the historical user behavior data and current user behavior data so as to obtain a second analysis result, wherein both the first analysis result and the second analysis result comprise at least one set of the operation objects, one operation object corresponds to at least two pieces of multimedia information, and the information content of the multimedia information corresponding to the same operation object has time correlation.

The invention provides a framework for collecting, storing, and analyzing system metrics concerning a computing system or a computer component. A configuration module is provided to configure settings specific to a metric. A data collection module is provided to collect metric data according to the settings in the configuration module and in one or more component specific plug-ins that extend and customize the framework according to specific needs of the component. The data collection module collects metrics at specified time intervals and periodically updates metric data stored in a central metrics storage module. An analysis module is provided to analyze metric data stored in the central metrics storage module online or offline. The analysis module may analyze a metric statistically or graphically, individually or combined with other metrics.

The invention provides an offline automobile gearbox NVH (noise, vibration and harshness) detecting method. A system for the offline automobile gearbox NVH detecting method comprises an offline analyzer, a control unit, a data acquisition system, a loading system, a driving system and a gearbox. The offline automobile gearbox NVH detecting method is characterized in that the offline analyzer performs offline analysis via an advanced order analysis algorithm, and the gearbox is the object for the offline analysis and provided with a vibration noise pickup sensor. The offline automobile gearbox NVH detecting method has the advantages that defects of the prior art are overcome, and efficiency in NVH detection in an offline process of the gearbox can be improved effectively.

The invention relates to a remote monitoring system for implanted medical equipment. The remote monitoring system comprises a doctor terminal, a remote monitoring server, an audio and video communication server, a patient client, a patient external controller, and the implanted medical equipment, and further comprises an electrophysiological signal sensor, a signal acquisition controller and a data analysis server which is connected with the remote monitoring server, wherein the electrophysiological signal sensor is connected with the signal acquisition controller, and is respectively connected with the patient client and the remote monitoring server through the signal acquisition controller; the data analysis server is used for carrying out online or offline analysis on the electrophysiological data of a patient acquired by the electrophysiological signal sensor. According to the remote monitoring system provided by the invention, the electrophysiological signals of the patient are acquired by the electrophysiological signal sensor, and the monitoring ways are varied, so that more comprehensive monitoring for the patient can be realized.

The invention provides a distributed information tracking system, and an information processing method and apparatus. An information collection device collects call information of a business processing stage and sends the call information to a message channel; an information analysis device obtains the call information from the message channel and performs real-time analysis on the call information to obtain the call information with same identifier information; and a corresponding call chain is obtained according to the call information with the same identifier information. Therefore, the call chain can be obtained by depending on the call information; compared with the prior art, a process of converting the call information to be in a corresponding log format and writing the call information in a local file is removed, so that the analysis timeliness is improved; the information analysis device can obtain the call chain by performing the real-time analysis on the call information; and compared with an existing mode of obtaining the call chain by three sub-steps of the real-time analysis, offline analysis and combination analysis, the analysis timeliness is further improved and the analysis complexity is lowered.

The invention provides a user information identification and classification method based on an internet application and a system thereof, and aims at compensating limitation of conventional data collection and identification modes. The user information identification and classification method based on the internet application comprises the steps that S1 use information of an application user is acquired; S2 real-time data analysis is performed; S3 offline storage is performed; S4 offline data analysis is performed; and S5 the analysis results are summarized. The method has extremely high compatibility, can realize real-time data collection and has great stability; storage pressure is low and rate of data analysis is high; and the data are stored by adopting an offline mode so that the data are ensured to be complete and errorless and historical data are ensured not to lose. The user information identification and classification system based on the internet application comprises a data collection module, a log analysis module, a storage module, an offline analysis module and a model database. The system has high precision, flexibility and stability and adopts two-stage analysis modes of real-time analysis and offline analysis so that computation pressure of the system can be reduced.

The invention provides a framework for collecting, storing, and analyzing system metrics concerning a computing system or a computer component. A configuration module is provided to configure settings specific to a metric. A data collection module is provided to collect metric data according to the settings in the configuration module and in one or more component specific plug-ins that extend and customize the framework according to specific needs of the component. The data collection module collects metrics at specified time intervals and periodically updates metric data stored in a central metrics storage module. An analysis module is provided to analyze metric data stored in the central metrics storage module online or offline. The analysis module may analyze a metric statistically or graphically, individually or combined with other metrics.