83 results about "Benchmark database" patented technology

The invention discloses a tunnel full-section high-speed dynamic health detection device based on an active panoramic vision. Hardware of the device comprises a tunnel detection trolley, an active panoramic vision sensor, an RFID reader and a processor. System software comprises an omnibearing face laser information analysis and point cloud data obtaining unit, a tunnel center axis extracting unit, a noise reducing and adjustment processing unit, a three-dimensional modeling and deformation analyzing unit, a full tunnel all-section cross section benchmark database, a full tunnel longitudinal section splicing unit, a displacement monitoring and sedimentation monitoring unit, a full tunnel health examination result database and a tunnel longitudinal section variable shift amount three-dimensional visualization unit. Transverse and longitudinal deformation of a tunnel are analyzed and recognized by carrying out machine vision processing on laser scanning fracture surface slice images of the inner wall of the tunnel. The invention further provides a tunnel full-section high-speed dynamic health detection method based on the active panoramic vision, and effective technology support is provided for daily maintenance of tunnels of metros and high-speed rails.

Systems and methods are disclosed for providing benchmark services to customers. The services may be provided through a benchmark provider. The benchmark provider may build a benchmark database based on data collected from customers and/or third party sources. The submission of benchmark data can be made optional to the customer and, thus, not a requirement to receive service(s) from the benchmark provider. In addition, the benchmark database may be built as a comprehensive database, such that it is well-populated and provides benchmark data for many or all types of functional areas (e.g., FIN, CRM, SCM, SRM, HR, etc.), industries and/or sizes of companies. Offers for benchmark services may be presented to customers and specific service(s) may be provided in accordance with the service election(s) made by each customer.

Systems and/or methods that encourage an agent to become a true agent of a principal by rewarding or penalizing an agent for exceeding or falling below a benchmark for a specific transaction set by, or on behalf of, the principal are provided. In certain exemplary embodiments, a benchmark for each purchasable good and/or service in a plurality of purchasable goods and/or services may be calculated. Information about a good and/or service to be purchased may be compared to a relevant benchmark. The agent may be rewarded based on the result of the comparing step. The benchmark may be weighted based on parameters input by the principal, including, for example price, durability, quality, performance, and/or other preferences. A database of benchmarks may be maintained and/or updated periodically automatically, by the principal, and/or by an independent third-party.

The present invention relates to a mask plate defect detection method. The method comprises the following steps that: light beams with different wavelengths are projected onto a calibration mask plate having graphic areas with different transmittance to carry out calibration tests to establish a benchmark database; the light beams are projected onto a mask plate requiring detection, at least one selected from reflectivity or transmissivity of the mask plate requiring detection to the light beams is measured; the information of the measured reflectivity or the measured transmissivity is compared to the benchmark data to determine whether the defect exists on the mask plate requiring detection. With the detection method of the present invention, haze defects and micro organic pollution on the mask plate can be quickly and efficiently detected.

The invention relates to a white spirit identification method based on a fluorescence characteristic parameter Euclidean distance, which comprises the following steps: a. storing the brand, odor type, vintage, fluorescence characteristic parameters, three-dimensional equal angle and contour fluorescence spectrum of each reference white spirit to a reference database; b. measuring the fluorescence spectrum of the white spirit to be identified and extracting the fluorescence characteristic parameters of the white spirit to be identified; c. inquiring and selecting the basic information and fluorescence characteristic parameters of all reference white spirits which have the same fluorescence peak number with the white spirit to be identified; d. solving the Euclidean distance of the fluorescence characteristic parameters of the white spirit to be identified and the fluorescence characteristic parameters of all the reference white spirits; e. comparing the obtained Euclidean distance with the set threshold and computing to obtain the similarity of the white spirit to be identified and the corresponding reference white spirit; and f. outputting the variety and vintage of the white spirit to be identified and the similarity with the corresponding reference white spirit. The white spirit identification method has the advantages of convenience in process operation, high identification accuracy and wide application range and is safe and reliable.

The invention discloses an electromagnetic environment quality evaluation method based on civil aviation stations in a comprehensive application scene. The method comprises the following steps of acquiring electromagnetic environment characteristic parameter data of each civil aviation station in an actual application scene in real time; automatically performing data correlation analysis with an electromagnetic environment reference database of each civil aviation station in a new application scene; and obtaining a quality evaluation analysis report of an electromagnetic environment of each civil aviation station in the application scene. The electromagnetic environment reference database of each civil aviation station in the application scene is established, the characteristic parameter data of each civil aviation station is simulated or actually obtained, and the real condition of the electromagnetic environment quality in a use process of each civil aviation station is obtained; andthe characteristic parameter data is compared with data of the reference database in real time, an early warning can be given actively and effectively when the quality of the electromagnetic environment where each civil aviation station is located becomes poor, specific data which causes the quality of the electromagnetic environment where each civil aviation station is located to be poor is obtained, and the quality evaluation analysis report of the electromagnetic environment where each civil aviation station is located is given, so that the safety of civil flying is guaranteed.

The invention discloses a safety monitoring method under a distributed network environment and relates to the safety monitoring problem in the field of information security. According to the method, the system is composed of a monitoring module, a safety module and a safety mechanism, wherein the safety module is composed of a safety function cooperation module, a safety control module, a safety measurement module, a safety decision module and a local benchmark database. Monitored dynamic data are transmitted out by the monitoring module, and the monitored dynamic data are transmitted to the safety measurement module for measurement and used for measuring safety of behaviors of monitoring nodes; the safety problem is determined by the safety decision module according to the measurement result; the safety mechanism in a monitored system is dispatched by the safety control module according to the decision result to perform a coping strategy; the safety function cooperation module is responsible for having communication with the safety measurement module, the safety decision module and the safety control module so that the safety function cooperation work can be achieved. A safety strategy can be dynamically made for the distributed network environment, and safety of the monitoring nodes under the distributed network environment is maintained.

The invention relates to a damage detecting method of a platy structure. The damage detecting method comprises the following steps of (S1) arranging a piezoelectric transducer array on the platy structure; (S2) establishing a benchmark database; (S3) collecting a current signal and a current temperature of the platy structure to be detected; (S4) calculating a difference signal which is equal to acurrent baseline signal in the benchmark database subtracts the current signal; (S5) calculating a damage index according to the difference signal and the current baseline signal, if the damage indexis greater than a preset threshold, judging that the platy structure to be detected is damaged, and if the damage index is no more than the preset threshold, judging that the platy structure to be detected is not damaged. The damage detecting method has the beneficial effects that due to adoption of a temperature compensation mode, the influence caused by larger temperature change is weakened inthe process of using piezoelectric transducers to detect the damage of the platy structure, so that the detection accuracy is improved and the potential safety hazards are avoided.

The invention relates to a calculation method of discharge platform of mixed anode material of lithium battery. Wherein, it comprises: obtaining the discharge test data of single anode material, fitting the test data into discharge curvature as voltage-specific capacity function and store it in computer to form one standard test database; selecting the function relationship of mixed used anode material from the standard database, adding the function relationships linearly to obtain mixed material function relationship; at least, using Matlab language to program the method to realize computer simulation. The invention has simple operation and can detect the mixed ratio of unknown mixed anode material.

The present disclosure includes a method, system, and computer program for analyzing the impact of social programs. The analysis of the impact of a social program may be facilitated by one or more application program units residing on a service provider's server. The service provider server may include an outcomes taxonomy, evidence base, data collection unit, data evaluation unit, program rating unit, metric calculations unit, and a benchmark database. The analysis may result in the generation of a program scorecard that includes a plurality of metrics that may estimate the likelihood of success of a social program. Each of the one or more metrics may be utilized in order to predict the impact of a social program.

The embodiment of the invention provides a face picture screening method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a to-be-detected picture containing a face target; comparing the face target in the to-be-detected picture with a three-dimensional reference face model in a preset three-dimensional reference database to determine a feature value of the face target; comparing the numerical values between the feature values and a preset threshold value, dividing the to-be-detected pictures into different categories according to the comparison result, wherein the categories include high-quality pictures and common-quality pictures. By comparing the numerical values between the feature values and the preset threshold value, whether the to-be-detected pictures meet the requirements of subsequent operation or not can be measured more accurately, so that the to-be-detected pictures are screened more accurately.

The invention provides an aligning and matching system for a liquid crystal display panel. The system comprises a substrate temporary storage region, a reference database, a detection unit, a first database, a second database, a control unit and a selection and output unit, wherein the detection unit measures first relative data and second relative data, relative to reference data in the reference database, of the first substrate and the second substrate in the liquid crystal display panel; the control unit matches the first relative data with the second relative data and acquires the first relative data and the second relative data which are matched with each other best; and the selection and output unit selects the first substrate and the second substrate, respectively corresponding to the first relative data and the second relative data which are matched with each other best, in the substrate temporary storage region according to the first relative data and the second relative data which are matched with each other best, and outputs the selected first substrate and the selected second substrate to other manufacturing processes. The invention also provides an aligning and matching method for the liquid crystal display panel. By using the system and the method, the alignment accuracy of the first substrate and the second substrate of the liquid crystal display panel are improved.

The invention discloses a maximally stable extremal region and SVM based traffic sign recognition method, which is characterized in that a maximally stable extremal region (MSER) algorithm is adopted to detect a traffic sign part in an RGB image, graying treatment is performed on the image, and the stability of the MSER algorithm is brought into play. The method applies an HOG eigenvector to act as a method for edge detection and image segmentation for a region to be identified, thereby being capable of suppressing influences brought about by translation and rotation to a certain extent. The method is insensitive to changes of illumination, so that the interference brought by changes in illumination intensity to the image can also be reduced. An SVM classifier is used in the stage of classification and recognition to avoid easy error occurrence performance of manual marking and great time consumption of machine training. The method well balances the requirements of accuracy and timeliness, and realizes automatic detection and recognition for traffic signs. The method performs recognition on test images in a German traffic sign detection benchmark database and acquires good effects.

The invention discloses an optimized operation evaluation system and an optimized operation evaluation method for a thermal power plant and relates to a thermal power evaluation technology. According to the system, a generating set (100), a power plant operation monitor (101), a data statistics processor (102), an evaluation index calculator (103) and a disseminator (104) are sequentially connected. The method comprises the following steps: 1, defining a boundary and establishing an index; 2, establishing an energy loss differential analysis system; 3, establishing a norm database; 4, calculating an evaluation index; 5, establishing an institution system. According to the optimized operation evaluation system and the optimized operation evaluation method for the thermal power plant, influence of external factors on an evaluation result is eliminated; the optimized operation evaluation system and the optimized operation evaluation method for the thermal power plant are convenient for calculating and carrying out statistics, can sufficiently play the advantages of the institution system, avoid malicious competition between values, and are convenient for implementing standardized management; optimized operation of the power plant is finally implemented.

According to the implementation of the invention, a method and a device for evaluating resources used by a deep learning application, and a computer program product are provided. According to one embodiment, the method comprises steps of obtaining a performance benchmark database, wherein the performance benchmark database includes at least structural data of one or more deep neural network models, time performance data of a plurality of deep learning applications based on the one or more deep neural network models, and computing resource consumption data; extracting a training data set basedon the performance benchmark database, the training data set having a plurality of parameter dimensions, the plurality of parameter dimensions including structures of deep neural network models of a plurality of deep learning applications, resource allocation of the plurality of deep learning applications, and training time of the plurality of deep learning applications; and establishing a corresponding relationship between the parameter dimensions of the training data set so as to construct an evaluation model for evaluating the resources used by the deep learning application. By means of thescheme, the resources used by the deep learning application defined by the user can be effectively evaluated, and on the basis, an optimized resource utilization scheme can be provided for the user.

The invention provides a method for identifying abalone origin by utilizing atomic absorption spectrometry, comprising the following steps: A. establishing an origin abalone element reference database, that is, using Cultured abalone of Distribution in the same waters as origin standard products, measuring the contents of kalium, sodium, magnesium, calcium, zinc, and iron elements contained in the abalone as data of the element content database of the origin abalone by utilizing atomic absorption spectrometry; B. identifying samples, that is, respectively detecting the abalone samples to be identified with the standard products under the same conditions, so as to obtain the contents of kalium, sodium, magnesium, calcium, zinc, and iron elements contained in the abalone, and identify whether existing significant difference and judge whether the abalone belongs to the origin by comparing statistically the element contents of the standard products and the origin abalone. Because the origin abalone element reference database established in the invention contains wider range, the analysis results by comparing the abalone to be identified and the database is not influenced by subjective sense, thereby providing an objective assessment criteria which has the characteristics of convenience, quickness, simple operation, and high accuracy.

The invention discloses a PEM project evaluation management system and a control method thereof. The system comprises a management terminal server, a peripheral terminal server and a communication system, wherein a source material database, an evaluation standard database, an evaluation staff database, a scoring mechanism database, a scoring system, a ranking system, a file system and an information searching system are arranged in the management terminal server; after working drawings are evaluated and scored, scores of designers and design organizations and a ranking list are published, the designers and the design organizations are evaluated by construction units through a search engine and data, and pressure of project design defects is directly transmitted to each designer. The PEM project evaluation management system has the advantages that evaluation of the project design working drawings can be objectively and accurately completed on line, and working condition of the designers and the design units are objectively evaluated by scores and ranking, thus solving six problems in the construction industry.

The invention discloses an inertial navigation positioning calibrating method and system based on vision and priori knowledge. The method comprises the steps that 1, a binocular camera is used for collecting standard beacon images, through GPS and calculation, a geographic position of the standard beacon images is obtained, and data pairs are generated and stored in a standard database; 2, the binocular camera is used for collecting real-time beacon images, the real-time beacon images and the standard beacon images are matched, a geographic position in the data pairs is obtained, the obtainedgeographic position is used for correcting a geographic position provided by inertial navigation, and inertial navigation positioning is calibrated, wherein the standard beacon images comprise a guidepost image and a 3D image, and the real-time beacon images also comprise a guidepost image and a 3D image. The invention provides the inertial navigation positioning calibrating method and system based on vision and the priori knowledge, the problem that the guidepost images and the 3D images cannot be processed at the same time is solved, and a reference is provided for correcting an inertial navigation positioning error.

The invention provides a method for evaluating gait recognition performance based on a motion capturing frame. The method includes the main steps that a database is established; gait features are extracted; class separation degrees are evaluated, and the frame is evaluated, wherein gait data is collected to establish the database GaitMo, through Fisher linear discriminant analysis improved based on the maximum margin criterion (MMC) and in combination with principle component analysis (PCA) and linear discriminant analysis (LDA), the gait features are learned, and finally according to a specific application scene, appropriate indexes are selected from separation coefficients of four classes of feature space and four classifier performance indexes based on sequence to carry out evaluation so as to evaluation a system. The limit that new methods emerge endlessly and have difficulty in comparison and analysis is broken through; by providing the evaluation frame, set evaluation indexes are evaluated on a reference database, in this way, research, evaluation and analysis become effective, simple and convenient for gait recognition, contributions are made for repeatability research, and research and development of gait recognition are promoted.

The invention discloses a high-power SIC MOSFET module bonding wire health state detection method and device. The method comprises the steps that an SIC MOSFET module Vpeak, sS health reference valuebenchmark database is established; in the turn-off transient state, the turn-off transient drain current ID of the SIC MOSFET module and the induced electromotive force VsS between the auxiliary source s and the power source S of the SIC MOSFET module are obtained at the same time, and the peak value Vpeak, sS of the induced electromotive force VsS is measured; the health reference value Vpeak, sShealth is compared with the peak value Vpeak, sS, and a deviation value is calculated; and whether the bonding wire of the SIC MOSFET module has a falling fault or not is judged according to the deviation value. According to the method, online health state evaluation of the SIC MOSFET module is realized, the safety problem caused by aging of the bonding wire can be effectively avoided, and predictable maintenance of equipment is realized.

The invention discloses an ANN-based fractional flow reserve prediction method and device, equipment and a medium. The method comprises steps that all the basic data in a reference database are divided into modeling data and model detection data according to a specified proportion; the modeling data is trained through a specified algorithm to obtain a fractional flow reserve prediction model; thefractional flow reserve prediction model is checked by the model detection data; whether the check result is consistent with the specified requirement is determined, if yes, the fractional flow reserve prediction model is used to predict the fractional flow reserve of a subject. The ,method is advantaged in that the fractional flow reserve can be accurately predicted, accuracy can reach 98%, average accuracy can reach more than 90%, the application range is wide, prediction can be performed without knowing the formula relationship between input parameters and reference data, and greater freedom is realized.

The invention discloses a method and device for checking data in real time. The method comprises the steps of obtaining reference data from a reference database in real time, and obtaining check datafrom a check database in real time, wherein the reference data and the check data are generated by writing the same original data into the reference database and the check database, and the check datais used for checking the data quality of the reference data; and checking the check data and the reference data and obtaining a check result. Through application of the method, the real-time check can be carried out on the online generated reference data, error data in the database can be timely discovered, and an error is corrected timely, so the data check timeliness is ensured.

The invention relates to a combustion control method of a gas water heater. The gas water heater comprises a combustor, a proportional valve, a fan and a controller, and is characterized in that a wind pressure sensor is arranged at an exhaust port of the gas water heater, the wind pressure sensor is also connected with the controller, and a wind pressure reference database and a fan rotation speed compensation database are preset and stored in the controller. Compared with the prior art, the method has the advantages that when external wind pressure does not exist, detection values of the fanat different rotating speeds through the wind pressure sensor are stored in advance as wind pressure reference values, the rotating speed compensation amount required of the fan at different reference rotating speed conditions and different wind pressure values existing outside is stored in advance as well, so that the influence of wind pressure generated by the fan on the detection value of thewind pressure sensor can be well avoided, and meanwhile, adjustment on the rotating speed of the fan is accurately controlled, and the control method is more accurate.

The invention relates to a combustion control method for a gas water heater. The gas water heater comprises a burner, a proportional valve, a fan and a controller, and is characterized in that a windpressure sensor is arranged at an exhaust port of the gas water heater; the wind pressure sensor is connected with the controller; and a wind pressure reference database and a fan rotation speed compensation database are preset and stored in the controller. Compared with the prior art, the method has the advantages that when no outside wind pressure exists, a detected value of the wind pressure sensor of the fan at different rotation speeds is pre-stored as a wind pressure reference value, rotation speed compensation values, needing to be adjusted, of the fan at different reference rotation speeds of the fan with different wind pressure values outside are also pre-stored, the influence of the wind pressure generated by the fan on the detected value of the wind pressure sensor can be well avoided, meanwhile, fan rotation speed adjustment is controlled accurately, and the control method is more precise.