85 results about "Validity assessment" patented technology

A target tracking method based on semi-supervised learning and a random fern classifier relates to a target tracking method and solves the different problems that an existing target tracking method is large in calculated amount and high in complexity, cannot meet real time processing requirements, is poor in effects on large angle rotation and hyperplane rotation and the like. The target tracking method can solve the difficult problems target scale change, rotation, hyperplane rotation, noise, shading, bonding, camera vibration, dim and the like in scene to form a stable target track and a full-view online model of the target. The tracking method comprises the steps of initializing the online model to generate and standardize positive examples; initializing a detector; training a detection; tracking a short-term tracker; tracking validity evolution; detecting the detector; combining detection and track; and learning and upgrading training sets. The target tracking method is a complete target tracking solution and is widely applied to fields of actual video monitoring, behavior analysis, intelligent transportation, electronic police, precision guidance and the like.

The invention relates to an automatic extraction method for Earth observation laser height measurement satellite elevation control points and a data processing method. The laser elevation control point extraction method comprises steps that an effective earth observation laser distance value measurement evaluation method is employed, determined cloudless footprint image blocks are kept, and laser elevation data of determined thin-cloud or thick-cloud footprint image blocks are removed; reflectivity Epsilon smaller than 1 of laser footprint points is taken as a screening parameter, laser footprint points of the kept footprint image blocks are screened, Epsilon=reception pulse energy/emission pulse energy, laser footprint points which have only one wave peak, have the peak value greater than the threshold, have the standard deviation sigma not greater than 3.2ns after waveform fitting are selected from an echo waveform, and parameters used for determining the threshold comprise the emission energy and a reception caliber of a laser device. Through the method, influence of clouds on laser distance measurement can be reduced, laser distance measurement precision can be guaranteed, and accuracy of the laser elevation reference data is effectively improved.

The invention discloses an experimental facility and an experimental method for the fire suppression effectiveness evaluation of additive-containing water mists. The experimental facility comprises an oxidizing agent flow quantitative supplying and conveying system, a combustible gas quantitative supplying and conveying system, a representation system, and a data acquisition and remote control system, wherein the oxidizing agent flow quantitative supplying and conveying system is composed of a frequency conversion vortex fan, a vortex shedding flowmeter, a small wind tunnel, an atomization device and a sprayer support; the combustible gas quantitative supplying and conveying system is composed of a columnar porous burner and an automatic gas distributing system; the representation system is composed of a water mist and flame action observation device, a flame temperature measurement device and a condensed phase grain size and speed measurement device. The experimental facility can realize quantitative supplying of air and combustible gas, the adjustability of the particle size distribution and the release amount of the liquid phase fire extinguishing agent and the adjustability of the concentration of additive, and the representation of the temperature of a position nearby a stagnation point, the particle diameter and the speed. The experimental facility can be used for screening high-efficiency water mist additives, quantitatively evaluating the fire suppression effectiveness for specific flames in the aspects of the variety and the concentration of the additive, and researching the physical and chemical mechanism of the action of the condensed phase fire extinguishing agent and the flame.

The invention discloses a rapid online assessment method for wide area measurement power big data quality, and belongs to the field of power system big data application, and the method comprises the following steps: obtaining the real-time power big data of a wide area measurement system in a given time period; performing fast preprocessing with improved MapReduce parallel K-means clustering algorithm ; carrying out correctness evaluation by adopting a KNN-based fast density peak abnormal value detection algorithm; carrying out integrity, uniqueness, accuracy, consistency and effectiveness evaluation, and designing an evaluation rule Rr (r = 1, 2, 3... n) corresponding to each index according to the evaluation index Ii; determining a weight coefficient Ww of each evaluation index by utilizing an analytic hierarchy process; and counting the data number percentage Ss meeting the evaluation rule Rr (Ii), and calculating a comprehensive evaluation value X of the power big data quality according to the obtained weight coefficient Ww and the detection result Ss. According to the method, the problem of rapid assessment of the quality of the power big data is solved, and the method is basic work of power grid online application based on the WAMS.

The present invention relates to a simulation test system based on fault injection, including a simulation module, a test module, a data collection and analysis module and a test real-time monitoring module, and the simulation module, the test module, the data collection and analysis module and the test real-time monitoring module are all It is connected to the shared memory and the data in the shared memory is shared. By modifying the data in the test module, it can intervene in the work of other modules to complete the fault injection of the simulation test system. A simulation test system based on fault injection of the present invention can flexibly change the data generated in the test process, provide more effective test means, avoid the disadvantages of directly modifying the simulation model when performing fault and abnormal tests, and eliminate the faults of the system The domain is separated from the normal domain to ensure the state consistency of the cross-link system during the test process, which is helpful to study the real impact of faults on the target system and related failure behaviors, and to evaluate the effectiveness of the fault tolerance mechanism of the target system.

The embodiment of the invention, which relates to the technical field of communication, provides an evaluation method and apparatus for coverage effectiveness of an LTE network base station. With the method and apparatus, a reliable data support can be provided for optimizing a network structure reasonably, reducing cell interference, and lowering the operation and maintenance cost. The method comprises: an engineering parameter of each base station in a road test region at least including a target region as well as network data information of each 3G cell in a 3G base station coverage range established at the same site as the base station is obtained; a value coefficient for each cell in each base station coverage range in the target region is calculated; all structural base stations in the target region are determined; a total coverage effective rate of all structural base stations in the target region is calculated; and if the total coverage effective rate of all structural base stations in the target region is larger than a preset coverage rate, the structural base stations in the target region are determined to meet the coverage requirement. The evaluation method and apparatus are used for evaluating coverage effectiveness of base stations.

Provided is a method for reporting performed by user equipment in a wireless communication system. The method comprises: obtaining an estimation result from a first point in time; obtaining location information from a second point in time; determining a correlation between the location information and the estimation result; and transmitting to a base station a report message including the estimation result. When the location information is determined to have a high correlation to the estimation result through a correlation validity evaluation, the method further comprises transmitting the location information to the base station.

The invention discloses a mixed measurement-based video data panoramic imaging method, belongs to the field of image processing, solves the problems of low execution efficiency, low panoramic imaging precision and the like of the conventional panoramic imaging algorithm aiming at registering and splicing two images during processing the video data, and provides a mixed measurement-based panoramic imaging method. The method comprises the following steps of: 1, sampling to acquire a registration frame image; 2, sampling again to acquire the frame image to be registered; 3, performing effectiveness evaluation; 4, acquiring a registration parameter; 5, judging whether a transverse registration displacement and a longitudinal registration displacement exceed a threshold range respectively; 6, splicing the registration frame image of which the registration parameter is acquired and the frame image to be registered by using a tapered slot weighted fusion method, taking the spliced image as a next registration frame image, returning to the step 2 and performing the next image sampling, splicing until the video data sampling process is over and exiting the circulation to finish the splicing process of a panoramic image.

The invention discloses a power distribution network contact effectiveness evaluation method. The power distribution network contact effectiveness evaluation method comprises five steps: step 1, dataacquisition; step 2, data preprocessing; step 3, construction of an association model; step 4, value analysis; and step 5, visual displaying of the data. The power distribution network contact effectiveness evaluation method has the advantages that multi-dimensional data such as power failure frequency and new energy power generation are acquired by utilizing multiple data platforms such as an electric SCADA system, a power utilization information acquisition system, a PMS system and an OMS system; analysis is carried out from five perspectives of distribution line open capacity, voltage quality, protection sensitivity, power supply reliability and new energy access; and an existing power distribution network frame is diagnosed and deeply excavated, so that the contact perception capability of the power distribution network is improved, and limited resources are utilized, and support is provided for contact construction of the power distribution network to the maximum extent, and powercustomers are better served, and the industry competitiveness of companies in the incremental power distribution network market is improved, and a virtuous circle is formed.

The invention provides an account system and a method for realizing management of carbon emission or carbon emission reduction behavior. The carbon emission or carbon emission reduction behavior refers to greenhouse gas emission or greenhouse gas emission reduction behavior. The method comprises that a login application of a user is received, and the account system corresponding to the login application is entered; after the account system is entered, behavior information of carbon emission or carbon emission reduction of the user is obtained; according to the behavior information of carbon emission or carbon emission reduction, corresponding data of carbon emission or carbon emission reduction is obtained; and the data of carbon emission or carbon emission reduction is stored in the account system. Efficacy of the carbon emission or carbon emission reduction behavior is evaluated to determine whether the carbon emission or carbon emission reduction behavior has monitoring values, and the evaluation result includes the behavior information with monitoring values. The account system and method can be used to effectively manage different types of frequent carbon emission or carbon emission reduction behaviors of people or social organizations in daily life and production, operation is simple, and the system and method are easy to popularize and low in cost.

The invention discloses a deep learning based QoS prediction method of a Web service. A deep learning prediction model is provided for predicting the QoS (Quality of Service). The method comprises the following steps that QoS attribute data is preprocessed by using a wavelet transformation method, an original sequence is decomposed and reconstructed to form low-frequency and high-frequency sequences, deep circulation type neural network models are trained for subsequences, and in the prediction state, prediction values of the circulation type neural network models are added to obtain a final prediction value. To verify a prediction effect, QoS attributes including response time and throughput are predicted, and experimental results are compared via precision analysis and validity evaluation manners. Under time sequence samples with different features, the deep learning prediction model can maintain a higher prediction precision, is better than a single prediction model, and enables stable and effective prediction.

The invention relates to a watching record obtaining method, an effectiveness evaluation method and devices for display information. User information corresponding to users watching the display information is obtained, and a corresponding relation between the user information and aiming point equipment located at a display place where the display information is located is recorded; according to the corresponding relation between the user information and the aiming point equipment and a pre-established display information base, a corresponding relation between the user information and the watched display information is established, and a watching record information base is established. Thus, whether the users watch the display information at the display place or not is determined. Preparations are made for further determining whether the display information plays a role in promoting the users.

The present invention provides a computer-implemented method and system for assessing internal controls. The method includes: presenting internal control items; processing an input set associated with at least some of the internal control items; and (c) generating a set of assessment information based on the processed input set. The method may further include one or more of: (d) prior to presenting, automatically grouping and presenting a subset of the plurality of internal financial control items based on a user input related to an assessment of risk; (e) prior to presenting, automatically presenting a previously identified risk associated with one or both of an audit area and a transaction class associated with a subset of the plurality of internal financial control items; (g) receiving a user test input designating an internal financial control item for testing and presenting a set of test procedures associated with the designated internal financial control item; (h) documenting assessments with the set of test procedures; and (i) receiving from a user a plurality of inputs representing user assessment of the effectiveness of internal financial control items and presenting a summary of the effectiveness assessments.

The invention discloses a simulation apparatus and a simulation method for heat flux density of the lower head of a pressure vessel. The simulation apparatus comprises an arc simulator which is a cuboid as a whole; the arc simulator bends towards one of the side surfaces of the arc simulator to form a quarter circular ring with a rectangular cross section, the external diameter of the arc simulator is R, the internal diameter of the arc simulator is R-B, B is the thickness of the arc simulator, and the width of the arc simulator is Am. The simulation apparatus provided by the invention can simulate heat power of core melts under different accident conditions and cooling flow of the lower head at the same time; the apparatus can also simulate heating of the core melts under severe accident conditions; the apparatus cooperates with other structures to form a cooling channel together; and the apparatus is applicable to experiments on flow and heat transfer characteristics and critical heat flux density of the external surface of the lower head of the pressure vessel under severe accident conditions in a laboratory, can acquire the limit value of the critical heat flux density of the external surface of the lower head and provides a basis for designing and validity evaluation of a severe accident mitigation system.

The invention relates to a power cabin comprehensive testing device and a power cabin comprehensive testing method of an armored vehicle, and the power cabin comprehensive testing device and the power cabin comprehensive testing method belong to the technical field of automatic detection technologies. The power cabin comprehensive testing device comprises a mechanical stand body, a supply module, an operating mechanism, a loading module and a computer monitoring and control system. The power cabin comprehensive testing device and the power cabin comprehensive testing method, which can be used for simulating actual working conditions of a power cabin and carrying out comprehensive tests on power cabin performance, are provided for solving the problems that a testing method for a power cabin engine and a speed changing box of the traditional armored vehicle is single, and the effectiveness evaluation cannot be carried out on performance of the engine and the speed changing box. The power cabin comprehensive testing device and the power cabin comprehensive testing method obtain a power cabin sensor signal effectively through an engine and speed changing box signal processing unit, ensure the authenticity and accuracy of the signal, adopt a load simulation method based on a virtual scene, and reproduce actual working load of the power cabin truly, thereby avoiding the problems that the power cabin must be mounted on a vehicle for road driving tests, the test efficiency is low, the test cost is high, the maintenance is difficult when a problem occurs and the like.

The invention provides a BPSK signal blind identification result validity evaluation method based on HOUGH conversion. According to the method, on the condition without signal priori knowledge, reference signals are constructed according to signal models corresponding to modulation identification results, a module value curve after correlation accumulation of the reference signals and observation signals is analyzed is converted into a two-dimensional image of binarization, HOUGH conversion is then carried out, straight line detection is carried out, and whether the BPSK signal blind identification results are valid can be judged by detecting the number of aggregation points of the parameter space according to a straight line in the data space. The algorithm can test the validity of the blind identification results of the BPSK signals on the condition of the low signal to noise ratio, and moreover, the priori information of the signals is not needed.

The invention provides a root box for submerged plant cultivation and rhizosphere microcell DGT test and a use method thereof. Two filter screens are adopted for separating an inner chamber of a box body of the root box into a lower layer chamber, a middle layer chamber and an upper layer chamber which are arranged in turn from bottom to top; the roots of the submerged plant are cultivated in the middle layer chamber; the rhizosphere microcell sediments and the rootless sediments are effectively and obviously separated; and meanwhile, a test port, through which DGT and sediment sampler can pass, is formed on a side wall of the middle layer chamber; the in-situ and accurate determination of DGT for the elements, such as phosphorus, in the process of migrating on a plant root/ sediment interface can be realized; complete plant root characteristics can be acquired. The root box provided by the invention has the advantages that the structure is simple, the survival rate of the plants is high and the root box can be used for evaluating the bio-availability of the elements such as phosphorus. According to the use method of the root box provided by the invention, the cultivation for submerged plant and the in-situ test for rhizosphere microcell DGT can be realized at the same time, the operation is simple and convenient, and the use method can be easily large-scale popularized.

The invention discloses an optimal clustering algorithm selection method and device based on multi-attribute decision, and the method comprises the following steps: employing a plurality of to-be-selected clustering algorithms, and carrying out the clustering of a data set; Evaluating the clustering result of each to-be-selected clustering algorithm by adopting a clustering effectiveness evaluation method, and constructing a decision matrix on the basis of the evaluation result; Calculating a weight value of each column of the decision matrix; Processing the decision matrix by adopting an MSMrelated operator to obtain a final evaluation value of each to-be-selected clustering algorithm; And selecting an optimal clustering algorithm from the plurality of to-be-selected clustering algorithms according to the final evaluation value of each to-be-selected clustering algorithm. According to the method, a clustering algorithm selection framework is established, so that the problem that an experience-based clustering algorithm may not obtain a good clustering result can be effectively solved, several different evaluation methods are selected and combined with a processing result of the evaluation methods to verify the clustering result, and the selected algorithm is more accurate.

A signal evaluating device comprises: a binarizing portion for binarizing an input signal; a run length measuring portion for measuring the run length of the input signal during the evaluating interval, using the output of the binarizing portion as the input; and evaluating means for calculating, from the measurement results of the run length measuring portion, a distribution wherein the noise frequency distribution included in the input signal during the evaluating interval is assumed to be a geometric distribution, and for evaluating whether or not the input signal is valid through comparing the calculated frequency to the run length frequency obtained from the measurement results by the run length measuring portion (probability calculating portion, noise frequency calculating portion, and validity evaluating portion).

The invention discloses a method for evaluating the validity of SCADA data on the basis of amount of reactive unbalance. The method is characterized by acquiring the amount of reactive unbalance of both ends of a line by computing according to a voltage amplitude on both ends of the line, a current amplitude of the line, the impedance of the line, and a susceptance-to-ground parameter of the line; and acquiring the amount of reactive unbalance according to the reactive power of SCADA measurement data at both ends. In an ideal case, the computed amount of reactive unbalance is approximately equal to the measured amount of reactive unbalance. If a difference value between the computed amount of reactive unbalance and the measured amount of reactive unbalance is very large, the validity of the SCADA data at that time segment is very low. The method has beneficial effects of using the reactive power of measurement data as an evaluation index to accurately evaluate the validity of the measurement data, thereby accurately finding out data with poor validity in the measurement data and fast removing the data with poor validity.

The invention discloses an evaluation method for guaranteeing the effectiveness of protective measures of an interplant pipeline of a petrochemical enterprise. The evaluation method comprises the following steps of firstly, identifying a major accident risk of an interplant pipeline; secondly, selecting a typical accident of the interplant pipeline; thirdly, determining a top event of the accident; fourthly, identifying a reason of the top event; fifthly, identifying a result caused by the top event; sixthly, determining the protective measures for preventing the top event and mitigating an accident result; seventhly, analyzing factors which can cause a failure of the protective measures; eighthly, proposing personnel maintenance and management activities for preventing the factors; ninthly, allocating the activities to corresponding professionals to execute. According to the evaluation method, corresponding personnel maintenance and management key tasks are proposed aiming the factors which can cause the failure of the key safety protective measures, so that the effectiveness of the key safety protective measures of the interplant pipeline of the petrochemical enterprise is effectively guaranteed.