84 results about "Observed information" patented technology

The present invention is a method for detecting anomalies against normal profiles and for fusing and visualizing the results from multiple anomaly detection systems in a quantifying and unifying user interface. The knowledge patterns discovered from historical data serve as the normal profiles, or baselines or references (hereinafter, called “normal profiles”). The method assesses a piece of information against a collection of the normal profiles and decides how anomalous it is. The normal profiles are calculated from historical data sources, and stored in a collection of mining models. Multiple anomaly detection systems generate a collection of mining models using multiple data sources. When a piece of information is newly observed, the method measures the degree of correlation between the observed information and the normal profiles. The analysis is expressed and visualized through anomaly scores and critical event notifications that are triggered by fusion rules, thus allowing a user to see multiple levels of complexity and detail in a single view.

A control system for a combined cycle power generation system including a gas turbine engine (GT), a heat recovery steam generator (HRSG), and a steam turbine (ST) includes a display wherein an operator may observe information about predicted operating parameters; a user interface wherein an operator may provide additional operating constraints; and a controller configured to generate input profiles of the GT, the HRSG, and the ST that satisfy the nominal constraints and any additional constraints and to generate the information about the predicted operating parameters. The controller may be configured to detect a stage transition of power generation system operation and update the input profiles. The controller may be configured to generate alternative operating scenarios by mapping alternative control actions to an operating constraint of at least one of the system components.

The invention discloses a method for evaluating the fatigue life of an aged reinforced concrete bridge. The method comprises the following steps of obtaining initial corrosion time of reinforcement in concrete based on the second diffusion law of Fick, and considering the influence of concrete cracking due to corrosion expansion in a corrosion rate model; adopting a small crack growth and near threshold growth analysis and determining relevant parameters of fatigue crack propagation rate of materials by developing a fatigue crack propagation test of reinforced concrete materials; performing a corrosion fatigue test or finite element analysis on corroded reinforcement to obtain stress concentration factors at different corrosion levels, and integrating into a stress intensity factor model to obtain the fatigue crack propagation rate of the reinforcement under the influence of corrosion; comparing the magnitude of a corrosion pit growth rate and the fatigue crack propagation rate and gradually converting into a single growth analysis on fatigue cracks of the reinforcement; meanwhile, combining with vehicle load observing information to realize life evaluation of a bridge at different service stages. The prediction method disclosed by the invention is reasonable and high in popularization, and can provide technical support for evaluating the life of the concrete bridges.

Disclosed is a noise suppression device capable of better noise suppression by means of a simpler structure and with a lighter computational load. A noise suppression device (100) has a noise suppression processor (150) to estimate the required information only from the observed information, which is the required information corrupted by noise. A correlator (154) calculates the correlation of the estimation error when the state quantity, which contains the required information, of the system at time n+1 was estimated from the information until time n or time n+1 for the observed information at only time n. A weighting coefficient calculator (156) uses the correlation calculated by the correlator (154) for the observed information at only time n to calculate the weighting coefficients for specifying the relationships of the optimum estimate of the state quantity at that time based on the information until time n+1, the optimum estimate of the state quantity at time n+1 based on the information until time n, and the estimation error of the observed quantity including the observed information. An optimum estimate calculator (158) uses the weighting coefficients calculated by the weighting coefficient calculator (156) for the observed information only at time n to calculate the optimum estimate of the state quantity at that time based on the information until time n or time n+1.

Disclosed herein are a method and apparatus for extracting feature points using hierarchical image segmentation and an image based localization method using the extracted feature points. An image is segmented using an affinity degree obtained using information observed during position estimation, new feature points are extracted from segmented areas in which registered feature points are not included, and position estimation is performed based on the new feature points. Accordingly, stable and reliable localization may be performed.

An optical line terminal which includes an observing unit that observes information of any one or all of an arrival interval of frames, an instantaneous bandwidth under use of a flow, a queue length of a queue temporarily storing the frames, and a traffic type, and a stop determining unit that dynamically determines a sleep time to be a period in which a sleep state where partial functions of the ONU are stopped is maintained, on the basis of the information obtained by the observing unit. The ONU is entered into a sleep state, immediately after communication ends, after a predetermined waiting time passes from when the communication ends, or after a waiting time determined on the basis of the information passes from when the communication ends.

A controller-based detection system configured to adaptively learn to distinguish between detected light that is indicative of an arc fault event and detected light that is not related to an arc fault event. In particular, the detection system is configured to observe the electrical power system as it is operated under various conditions to induce light events that are unrelated to arc fault events. Using the observed information about the light events that are unrelated to arc fault events, the detection system determines one or more detection algorithms. During normal operation of the electrical power system, the adaptively determined one or more detection algorithms are utilized to identify arc fault events in the electrical power system.

The invention discloses a deep space autonomous navigation method based on observability degree analysis, which relates to the field of aerospace. The invention solves the problems that when the current autonomous navigation systems comprehensively use different observing models to provide measuring information, different types of measuring information of different sensors need to be processed, thereby reducing the utilization ratio of the observed information and simultaneously reducing the adaptive ability and reliability of the autonomous navigation systems. The method of the invention is established on the basis of a dynamic model of an earth-moon transfer orbit deep space probe, obtains the observability degree of the deep space autonomous navigation system under two observing models of a geocentric sight line vector and a selenocentric sight line vector by a nonlinear system observability degree analyzing method, and acquires the orbit parameters of the deep space probe by a UKF based federal filtering algorithm. The invention is suitable for determining the orbit parameters of deep space separated section and transfer section probes. The invention can be used for improving the accuracy and reliability of the deep space autonomous navigation system, and is especially suitable for the information fusion autonomous navigation technologies under various observing models.

The invention provides a design method of a combination instrument, the combination instrument and a vehicle. The design method includes the following steps: obtaining an eye ellipse according to a vehicle model design hard spot, wherein the eye ellipse is located in a visible area of the combination instrument; adjusting the curvature radius and/or installation angle of a face cover of the combination instrument to make the curvature center of the face cover to be located above the visible upper limit of the visible area; selecting an incident point above the eye ellipse; adjusting the brim of the combination instrument to make reflected rays formed after the face cover of the combination instrument reflects the incident rays which are formed between the incident point and the lowest point of the face cover of the combination instrument are blocked by the brim of the combination instrument. The design method enables drivers to clearly observe information on dial plates, and accordingly avoids complaints from users and improves user experience.

In an automated driving control apparatus, an information acquirer is configured to acquire driving control information needed to control automated driving of a vehicle. A degradation information storage is configured to store information about accuracy degraded roads that are roads on which the accuracy of the driving control information is degraded to below a predetermined required level. An information updater is configured to acquire observed information concerning the information acquirer, and using the observed information, update stored contents of the degradation information storage. A route generator is configured to generate a route excluding the accuracy degraded roads stored in the degradation information storage. A driving controller is configured to conduct automated driving control of the vehicle according to the route generated by the route generator and the driving control information acquired by the information acquirer.

The present disclosure provides a light control film that is capable of transmitting light, or allowing a viewer to observe information, only within a viewing region centered around the normal (perpendicular line) to a surface. The light control film generally blocks information or light outside of this viewing region, and provides security in all directions including right-and-left and up-and-down of the film. The light control film includes a plurality of light-transmissive cavities that are surrounded by a light absorbing material, such that each of the plurality of cavities is optically isolated from adjacent cavities. Each of the light-transmissive cavities effectively block light which enters the cavity outside of a viewing (that is, cutoff) angle.

The invention discloses a correlation method for flight tracks of an airborne radar and an infrared sensor. According to the method, angle information observed by the airborne radar and the infrared sensor is fully utilized, wherein the angle information comprises an azimuth angle and a pitch angle. The correlation method comprises the steps of: on the basis of ambiguous comprehensive functions, establishing comprehensive discrimination functions by utilizing the observed information of the airborne radar and the infrared sensor; formulating a decision criterion; and finally determining judgment thresholds through counting characteristics and a correlation rate of the comprehensive judgment functions and then carrying out related judgment. The correlation method for the flight tracks of the airborne radar and the infrared sensor has the positive effect that on the basis of researching the sensor measurement origin uncertainty problem, by taking the airborne radar and the infrared sensor as examples, a driving/driven sensor flight track correlation method is disclosed on the basis of an ambiguous comprehensive theory; and the driving/driven sensor flight track correlation method not only can be used for solving the measurement origin uncertainty problem of multi-sensor observed information, but also can be applied to the flight track correlation problems related to multi-sensor multi-target tracking in the military or civil field.

An abnormality detection device includes: an estimator which estimates the amount of movement of a mobile body based on an image taken by a camera mounted on the mobile body; and a determiner which determines an abnormality in the camera by obtaining estimated information on the amount of movement of the mobile body as obtained in the estimator and actually observed information on the movement of the mobile body as detected by an external sensor, other than the camera, mounted on the mobile body.

A system for visibly processing observed information may include a configuration for systematizing information; a knowledge accumulation housing unit for storing knowledge accumulations from knowledge information belonging to each such configuration; an observed information receiving unit for receiving, from a user, information observed by the user; a fixed quantity processing unit for assigning a fixed quantity to a relationship between the observed information and the knowledge information belonging to each configuration for the knowledge accumulations; and a fixed quantity value display processing unit for displaying a numerical value of the fixed quantity, in accordance with the fixed quantity processing unit, together with its relationship with each configuration of the knowledge accumulations.

The invention discloses a robot positioning precision evaluating method based on monocular vision. A calibration plate is arranged at any position in a robot motion space, in the motion process, a robot observes the same calibration plate for many times at the different positions in the working environment of the robot, multiple times of sampling is conducted through an observing method in this way, and according to all observing information collected in the one-time motion process and statistical characteristics of the observing information, quantitative comparison of the positioning precision of different positioning algorithms in the same working environment is realized. According to the robot positioning precision evaluating method, the real position and posture of the robot are obtained without other precision instruments, a large number of repeated experimental tests are not needed, and the working efficiency is improved while the using cost is saved; in addition, the calibrationplate with the unknown environmental position and posture is adopted, thus the evaluating method is simpler and more convenient, and the motion environment and the motion space of the robot are not limited; and finally, the precision of a robot positioning algorithm is described by expression positively correlated with the positioning error, and the positioning precision between the different algorithms is compared.

The invention relates to a method for linear alignment of a large azimuth misalignment angle. The method comprises the following steps of (1) according to a state equation and an observing equation of a coarse alignment system, utilizing GPS (global positioning system) observing information to realize the coarse alignment process through linear Kalman filtering, until the heading error angle meets the small-angle threshold value condition; (2) reserving a system covariance matrix in convergence of coarse alignment, and using as the initial condition of fine alignment process; (3) continuing to use the system state variable of the coarse alignment, the position and speed error equations and the observing equations, using an attitude error equation, and using the stored covariance matrix as the initial condition to perform fine alignment, until the system is converged to the estimated level. The method has the advantages that the covariance matrix of the system error is directly transferred from the coarse alignment model to the fine alignment model, the stable model switching process is realized, and the convergence process of fine alignment is improved.

The invention relates to a spectral plane or focal plane installation and debugging method of a hyperspectral imager, relates to the field of imaging optical systems, and solves the problems that the existing hyper spectrometer imaging system is complex in the installation and debugging process and can not accurately adjust the position of a CCD (charge coupled device) focal plane component and frequent assembly and disassembly of the CCD focal plane component can easily result in damage to the CCD. The method comprises the following steps of: realizing equivalence between the position of a scribed line surface of a reticle in the bright background in a calibrated focal plane installation and debugging module and the position of a CCD light sensitive plane of the CCD focal plane component; replacing the CCD focal plane component by the installation and debugging module to debug an optical system; observing information, which is projected to the reticle by a camera, by using a microscope; figuring a CCD focal plane component adjustment pad to realize coincidence between a spectral line and the scribed line surface of the reticle; installing the CCD focal plane component and the calibrated CCD focal plane component adjustment pad in a matching mode; and replacing the installation and debugging module by the CCD focal plane component to finely adjust the position of the CCD focalplane. The method provided by the invention reduces frequent operations in the installation and debugging process of the CCD focal plane component and improves the reliability and stability of installation and debugging quality.

The invention relates to the technical field of satellite borne data processing, in particular to a GPS (Global Position System) double-frequency real-time satellite borne data processing method. The method comprises the following steps of: smoothing the motion states of all epoch satellites in the whole window by utilizing an observed value of an epoch position at the tail end of the window; integrating and forecasting a state-transition matrix from a tail end epoch of the window to a next epoch and the motion states of the epoch satellites by utilizing the motion states of all the epoch satellites in the window and a given state-transition matrix by adopting a multistep method; updating the window epoch, i.e. backwards moving the window to a novel epoch; and smoothing the motion states of all the epoch satellites in the window by utilizing novel observing information of forecasted epochs, and the like. In the method, the multistep method is adopted during updating the epochs, and a single-step method is used for intersection, thus the method has high numerical precision and better stability; the calculating times of integrating a right function is fewer, which can effectively improve the calculating speed; and a window moving method is adopted, thus the window length can be changed according to different calculation precision requirements, flexibility and variability are realized and the integrating precision is guaranteed.

The invention discloses a mobile internet big data analysis sample information display device, which comprises a bottom plate, a supporting column is fixedly connected to the top surface of the bottomplate, and a display box is arranged at the top end of the supporting column; a contrastive analysis device is matched with a reinforcing device; a worker can quickly disassemble and assemble a small-size writing board; further, the worker can conveniently move information needing to be compared and analyzed to an adjacent position for analysis and discrimination; the amount of information observed by the workers in the comparative analysis process is reduced; time and labor are saved, the rotating device is matched with the driving device; the contrastive analysis device can do circular motion; according to the information display device, key information sorted from different sample information can be conveniently displayed, the information display capacity is high, multiple pieces of key information are displayed at the same time, a decision maker can be helped to obtain unique changes of the sample information, the decision maker can make a decision which has a positive effect on enterprise development, and the practicability of the information display device is improved.