156 results about "Joint analysis" patented technology

A method and apparatus is provided to analyze social and content networks, to identify new relationships among users and content, and to more effectively link users to content. Embodiments of the invention also facilitate more relevant searches over both social and content data. One embodiment is directed to analyzing integrated social and content networks, and includes specifying a social network comprising multiple user nodes, and specifying a content network comprising multiple multimedia content nodes. Data elements associated with respective nodes of the user and content networks are analyzed, in order to detect a set of nodes comprising at least first and second user nodes and first and second content nodes, and to further detect at least three commonality links that join all the nodes of the set together. It is also determined whether a further link is a valid commonality link. The further link is initially inferred to extend between two of the nodes in the set, and to cooperatively join with the three identified commonality links to form a closed loop.

A diagnostic tool is disclosed for accurately and rapidly diagnosing the condition of an ailing organ. Although applicable to numerous organ and organ systems, this application particularly illustrates the concept of conjunctive marker utilization as it relates to diagnosing and distinguishing congestive heart failure. The invention particularly relates to the conjunctive utilization of cardiac Troponin I (cTn-I) and natriuretic peptide, e.g. ANP, pro-ANP, BNP, pro-BNP and CNP as a retrospective tool for diagnosing the underlying mechanism of heart failure and as a prospective analytical device for monitoring disease progression and efficacy of therapeutic agents.

The invention discloses a method for obtaining a resident travel characteristic parameter based on mobile phone positioning data. The method comprises the following steps of: (1) collecting mobile phone positioning data; (2) filtering the mobile phone positioning data, matching the mobile phone positioning data to traffic zones, and obtaining the matched mobile phone positioning data; (3) using users as units, ordering the matched mobile phone positioning data in one day by time, merging the continuous data in the same one traffic zone into one piece, and obtaining mobile phone positioning pretreatment data; (4) according to the number of emerged pieces and influence duration, judging residing points, restoring a travel path between two residing points, and obtaining the travel distance and the travel speed, and then obtaining a travel log table of all users; (5) on the basis of the matched mobile phone positioning data, statistically obtaining a place of residence and workplace result table; and (6) and conjointly analyzing the travel log table and the place of residence and workplace result table, and obtaining resident travel characteristic parameters. The method has the characteristics of low cost, large sample quantity, high precision and high time validity.

The invention provides a student state determination method, device and system. The method is applied to an online network teaching scene. A student side terminal of a network is equipped with a modality acquisition apparatus. The modality acquisition apparatus comprises a camera, an eye tracker and a body feeling instrument. The method comprises the following steps: obtaining data collected by the modality acquisition apparatus through the student side terminal, the data comprising expression data collected by the camera, eye data collected by the eye tracker and body state data collected by the body feeling instrument; based on image recognition technology, carrying out analysis processing on the expression data and the eye data to obtain emotion state information and fatigue and concentration degree state information of each student; and carrying out joint analysis on the body state data, the emotion state information and the fatigue and concentration degree state information to obtain state information of each student, wherein the state information comprises a high attention state, a low attention state and a dependence attention state. The student state determination method, device and system help teachers to know the learning state of each student clearly in network teaching.

A method for joint analysis of non-concurrent magnetic resonance (MR) and diffuse optical tomography (DOT) images of the breast includes providing a digitized MR breast image volume comprising a plurality of intensities corresponding to a 3-dimensional (3D) grid of voxels, providing a digitized DOT breast dataset comprising a plurality of physiological values corresponding to a finite set of points, segmenting the breast MR image volume to separate tumorous tissue from non-tumorous tissue, registering a DOT breast dataset and the MR image volume and fusing said registered DOT and MR datasets, wherein said fused dataset is adapted for analysis.

A system and method for computer-assisted joint analysis, wherein the joint elements in a three-dimensional imaging data set are segmented and then projected onto a two-dimensional or three-dimensional reference area for interference analysis and surgical planning.

The invention discloses a big data security analysis system based on massive network monitoring data. The system includes a data traffic monitoring module, a deep packet detection module, a data jointanalysis module, an anomaly detection module and a security evaluation module, wherein the data traffic monitoring module is used to monitor data traffic in real time, analyze applications, perform lossless collection on various system traffic data, and transmit the data to other modules; the deep packet detection module is used to judge the service types and application types by deeply reconstituting and analyzing the payload content of a seventh-layer packet and matching service characteristics, and performs analysis to obtain different application types; the data joint analysis module is used to perform data aggregation and study the state and association analysis to further remove redundant information in original data; the anomaly detection module is used to detect a data analysis result and judge whether the data is abnormal; and the security evaluation module is used to obtain a data evaluation result by combining the network situation based on the analysis and detection of other modules. According to the system, the real-time monitoring of network data and corresponding data security analysis can be implemented, and the data security and reliability can be improved.

The invention discloses an audio and video conjoint analysis-based fighting detection system and an audio and video conjoint analysis-based fighting detection method thereof. The audio and video conjoint analysis-based fighting detection system comprises a video acquisition module, an audio acquisition module, an algorithm detection module and a management module, wherein each of the video acquisition module and the audio acquisition module adopts a camera, an acquisition card and a computer; the video acquisition module acquires an analogue signal of the camera to a memory of the computer by the acquisition card; the audio acquisition module acquires the analogue signal of the camera to the memory of the computer by the acquisition card; and the algorithm detection module judges the fighting of persons in a target area, judges synchronous audio and video, detects, identifies and positions the chaotic fighting of the persons in the target area, and outputs results to the management module. In the system and the method, the behaviors of the persons in a monitored scene are analyzed, identified and positioned to accurately diagnose the abnormal behaviors such as gathering, fighting and the like of the persons appearing in a video image and give an alarm.

A method is provided for generating at least one quantitative measure of a joint comprising sending an acoustic signal to at least a part of a joint, receiving said acoustic signal after modification by said joint, analyzing the received acoustic signal with a computer, and generating, from said computer, one or more of a quantitative surface, quantitative volumetric and quantitative measurements of the physical properties of the joint or a portion thereof.

The invention discloses a method for recognizing the type of a vibration source of a tunnel, and a vibration source positioning method. The method for recognizing the type of the vibration source comprises the following steps: setting distance setting monitoring regions in the tunnel at intervals, wherein four corners of each monitoring region are respectively provided with a triaxial vibration sensor; collecting X-axis, Y-axis and Z-axis acceleration analog quantities of the triaxial vibration sensor in real time through the triaxial vibration sensor, and converting the acceleration analog quantities into digital quantities; carrying out the calculation and analysis of the monitoring data of the triaxial vibration sensor: building a vibration triggering algorithm; filtering background noises, judging the focus direction through longitudinal and lateral stationing combined analysis, and measuring the distance of a focus through a difference point of transverse and longitudinal wave propagation; and finally achieving an effect of precisely determining the focus. The method provides strong technological guarantee for the early warning and quick response of power safety production.

Processing test results from a plurality of individual semiconductor testers by analyzing each test result at an adaptive test engine. A centralized system jointly analyzes all the test results from the plurality of individual semiconductor testers. The adaptive test engine or the centralized system identifies, based on the analysis of each test result or the joint analysis of all the test results, one or more of: a test environmental issue, a tester variability issue, a tester calibration issue, a product variability issue, and a manufacturing process variability issue. The adaptive test engine or the centralized system determines whether one or more of the plurality of individual semiconductor testers causes one or more of the identified issues or whether semiconductor products tested by the plurality of individual semiconductor testers causes one or more of the identified issues.

Methods are provided for determining or otherwise assessing the response of a patient to treatment, in particular, to cancer treatment. The methods include the analysis of samples for the presence or the absence of HER2 markers alone or in conjunction with other biomarkers, such as HER3 markers. In certain examples, the probable time to progression can be determined by first determining HER2 positive patients and then further stratifying by using the presence or the absence of a second biomarker (e.g, HER3 markers). In addition, the data can be used to track a patient's response to a treatment regimen, assessing the expected success of treating a patient using a particular regiment, determining the effects of a treatment regiment or for categorizing a patient in order to create a homogenous group for a clinical trial.

A method for the joint analysis of molecular expression data and biological networks by clustering comprising the steps of defining a matrix of distances between molecules or sets of molecules that incorporate both the relation of corresponding expression profiles and information on their relation within a biological network; and clustering the molecules based on said distances.

The invention discloses an offshore wind turbine fatigue analysis system based on an integrated coupling model and belongs to the technical field of long-term fatigue coupling analysis of an integral structure of an offshore wind turbine. The fatigue analysis system comprises a design wind speed simulation module, an integrated coupling model establishing module, a coupled power reaction analysis module, a fatigue condition setting module, a fatigue loading file generation and integrated coupling fatigue analysis module and other computation modules. The fatigue analysis method comprises the following steps: establishing an integrated coupling model of a rotor-control-cabin-tower-foundation structure; calling FAST by utilizing a FAST-SACS joint analysis interface, and developing coupled power reaction analysis; reading a coupling analysis destination file by the joint analysis interface, generating an input file and a computing configuration file needed by fatigue analysis, and outputting the files to a designated directory; establishing a simplified integrated model of a mass point-tower-foundation structure, and developing offshore wind turbine integrated structure fatigue analysis under the wind flow combined action based on the generated input file and computing configuration file; and finally, obtaining long-term fatigue accumulation of the structure based on a wind turbine fatigue accumulation criterion.

Systems, methods, and non-transitory computer-readable media are disclosed for automatically generating an improved aircraft wing by modifying quantitative design variables of one or more airfoils based on joint analysis of aerodynamic and structural performance. In particular, the disclosed systems determine cross-sectional aerodynamic and structural performance metrics for identified airfoils. Based on cross-sectional metrics, the disclosed systems iteratively determine wing aerodynamic performance and deformation metrics across a span of the wing until arriving at an equilibrium deformation and corresponding aerodynamic metric. The disclosed systems can repeatedly analyze the aero-structural metrics for different quantitative design variables to explore a design space and generate an improved wing design while improving aerodynamic and structural performance.

The present invention relates to a road side parking management method based on multi-camera image combination processing. The method comprises: a camera set module obtains image information of a target vehicle and stores the image information; a first-class image processing module tracks a target vehicle track to obtain the position coordinates and position of the image information, extracts the position information of the target vehicle in a panoramic image and maps the position information to the corresponding parking stall camera, and obtains the corresponding parking stall camera image information; the image of the target vehicle in the panoramic image to perform feature comparison with the image in the corresponding parking stall camera to further obtain the in / out information of the target vehicle; and a second-class image processing module performs secondary processing according to the confidence coefficient of the first-time processing to improve the analysis accuracy. The road side parking management method based on the multi-camera image combination processing can improve the license plate identification accuracy, the accuracy of in / out motion capture of the target vehicle and the calculation efficiency through combination analysis of the panorama camera and the parking stall cameras and can perform the whole course image analysis of the parking event so as to realize parking course full coverage and effective backtrack of the parking event.

Systems, methods, and non-transitory computer-readable media are disclosed for automatically generating aircraft models by modifying quantitative design variables based on joint analysis of aerodynamic, structural, and / or energy performance. For example, in one or more embodiments, disclosed systems iteratively modify ailerons and a propulsion system based on performance criteria until a balancing metric converges. The disclosed systems then determine performance metrics corresponding to the aircraft model with the modified ailerons and propulsion system, such as stresses and deflections under performance load, a measure of aeroelastic stability, and a battery performance metric. The disclosed systems can then modify design variables based on the determined performance metrics to explore the design space and generate a new aircraft model.

The invention discloses a method for automatically recovering cross-model GUI (graphic user interface) test scripts, which is used for carrying out automatic recovery on GUI test scripts recorded on an older-version GUI program aiming at a new-version GUI program. The invention provides a method implemented by using the complementation of two event reachability models so as to describe the GUI structure and event reachability models of an application program more completely and accurately, the legitimacy of statements of the GUI test scripts is examined by using the two event reachability models, and an automatic recovery scheme is given to incorrect GUI test scripts in the new-version GUI program. According to the invention, the legitimacy verification and recovery of scripts are completed by using the collaboration of the two models, and a self-built event reachability model is continuously perfected in the process of recovering without the overmuch confirmations of engineers; and due to the joint analysis and verification of the two models, the integral description on all event flows included in the GUI application program is ensured, and the automation of legitimacy verification and recovery of GUI test scripts is realized.

The invention provides a fault arc detection method based on a high frequency characteristic and an apparatus thereof. The apparatus comprises a voltage zero-crossing detection unit, a current waveform acquisition unit, a current filtering shaping unit, a detection analysis unit, a liquid crystal display unit, an acousto-optic warning unit, a control unit and a communication unit. The detection analysis unit collects a pulse signal output by the current filtering shaping unit and original current data output by the current waveform acquisition unit through high speed I / O and A / D respectively. A pulse density and a current time domain characteristic are combined and used to analyze and determine a fault arc. When the fault arc is detected, an acousto-optic alarm and trip signal is emitted. By using the detection method, the fault arcs of various kinds of loads of a subordinate branch can be identified and are not influenced by superior or other parallel branch fault arcs. Sensitivity is high and a false alarm rate is low. In addition, according to different applications, software and hardware parameters are only configured and a circuit structure does not need to be adjusted; the method and the apparatus can adapt to alternating current / direct current arc detection and a plurality of standards, and versatility is good.

Ambiguities in a natural language expression are interpreted by jointly disambiguating multiple alternative syntactic and semantic interpretations. More than one syntactic alternative, represented by parse contexts, are analyzed together with joint analysis of referents, word senses, relation types, and layout of a semantic representation for each syntactic alternative. Best combinations of interpretations are selected from all participating parse contexts, and are used to form parse contexts for the next step in parsing.

The embodiment of the invention discloses a data processing method, device and system, a trusted computing device, appartus and a medium. The method is executed by a trusted computing device. The trusted computing device realizes a trusted computing environment based on hardware, and the method comprises the following steps: receiving a data analysis request initiated by a data user; according tothe data analysis request, reading at least one piece of data required by analysis from one or more data centers to a trusted storage space of the trusted computing device; analyzing and processing the read data based on an analysis algorithm running in the trusted computing device according to the data analysis request to generate a processing result, and storing the processing result in the trusted storage space; and feeding back the processing result to the data user. Through the technical scheme provided by the embodiment of the invention, the data joint analysis and processing can be realized and credibility and safety of the data analysis and processing process can be ensured.

The embodiment of the invention provides a voice business quality correlation analysis method, a device and a system. The method comprises the following steps of: obtaining first original voice measurement data of an object to be analyzed; carrying out statistical analysis of data according to the obtained first original voice measurement data, and obtaining data of various voice indexes, wherein the voice indexes comprise key performance indexes KPI and key quality indexes KQI; and displaying the data of the voice indexes and a trend curve of the voice indexes generated by the data of the voice indexes, and carrying out correlation analysis of the voice indexes according to display results. By adopting the technical scheme for correlation analysis of the voice indexes to obtain KPI affecting KQI, the relationship between KPI and KQI can be made clear, and the influence of KPI on the perception of users and the degree of influence can be analyzed conveniently.

A speech verification process involves comparison of enrollment and test speech data and an improved method of comparing the data is disclosed, wherein segmented frames of speech are analyzed jointly, rather than independently. The enrollment and test speech are both subjected to a feature extraction process to derive fixed-length feature vectors, and the feature vectors are compared, using a linear discriminant analysis and having no dependence upon the order of the words spoken or the speaking rate. The discriminant analysis is made possible, despite a relatively high dimensionality of the feature vectors, by a mathematical procedure provided for finding an eigenvector to simultaneously diagonalize the between-speaker and between-channel covariances of the enrollment and test data.

The invention discloses a driver driving mode analysis system and method based on a simulated driving platform, and belongs to the technical field of driver behavior characteristic analysis. The system includes: a driving environment simulation module, a driver signal acquisition and analysis module, and a driving mode analysis module. The driving environment simulation module includes a scene simulation module capable of simulating a road environment and a driving behavior simulation module capable of simulating a driving cab. The driver signal acquisition and analysis module includes an EEGsignal acquisition and analysis module, an EMG signal acquisition and analysis module, and a visual information acquisition and analysis module. The driving mode analysis module can fuse the signal analysis results of multiple sensors to obtain the driving mode of a driver. The system jointly analyzes the driving mode of the driver by the physiological signal and visual information of the driver,is accurate, and can provide a comprehensive basis for driver modeling and intelligent assisted driving technology.

The invention discloses a power cable and connector nondestructive detecting system and method based on X-ray and ultrasonic combined detection. The system comprises an ultrasonic detection subsystem,an X-ray detection subsystem and a diagnosis system, wherein the ultrasonic detection subsystem detects casings of a power cable and a connector through an ultrasonic probe, accomplishes the ultrasonic detection of the outer ring parts of the power cable and connector, and determines a shooting angle, shooting position and shooting distance of the X-ray detection subsystem during detection; the X-ray detection subsystem respectively accomplishes X-ray detection of the outer ring parts and the inner ring parts of the cable and connector at twice according to set parameters provided by the ultrasonic subsystem; the diagnosis system performs combined analysis on the state of the cable and connector according to two detection results output by the ultrasonic detection subsystem and the X-raydetection subsystem. The system takes ultrasonic detection and X-ray detection combined diagnosis as a tool, obtains more accurate detection results of the internal state of the cable and connector, effectively reduces failures and accidents caused by internal defects of the cable and connector, and guarantees the safe and reliable operation of the cable and connector.