52 results about "Joint evaluation" patented technology

The invention relates to a relationship prediction method based on a knowledge map, and uses an undirected graph to represent the knowledge map, and provides an improved hybrid relationship predictionalgorithm combining a bidirectional relationship path and an embedded type. The method comprises the following steps: (1) constructing a valid knowledge map of a triplet data set and initializing parameters; (2) training each entity and relationship in the knowledge map with the TransE algorithm, and embedding the entity and relationship into a low-dimensional vector space; 3) extracting the relationship label of each triplet and constructing a subgraph of each relationship; (4) on each relationship subgraph, finding a reachable path between every two entities through iterating, dividing thesubgraph according to the graph structure, and calculating the reliability of each reachable path; (5) iterating every two entities without the direct edge join, and evaluating whether there is a hidden relationship between the two entities through the constructed joint evaluation function and loss function; and (6) complementing the knowledge map structure.

The invention provides a high-rise residential area forced arrangement scheme generation design method based on a conditional generative adversarial network. The method comprises the steps of constructing a high-rise residential area conditional generative adversarial network structure model according to a design task book; Generating a data set under supervised pairing training and calling a Python language to adjust the picture size; Performing alternate iterative training on the network until a Nash equilibrium state is reached, and taking the high-rise residential area contour picture to be planned as an input condition to obtain a high-rise residential area forced arrangement scheme total plane graph; Calling a Python language to obtain a pixel gray scale value of the total plane graph so as to construct a high-rise residential area building geometric model; And establishing a building sunshine, fire-fighting performance and urban skyline combined evaluation system through computer simulation analysis and an expert evaluation method. The high-rise residential area forced drainage design scheme can be supported to make a decision, and meanwhile subjective and objective joint evaluation is carried out on the high-rise residential area forced drainage design scheme through building sunshine, fire-fighting performance and urban skyline analysis.

A non-invasive method for measuring the level of filling material in a vessel and for detecting the presence of the filling material in the vessel at a predetermined set point level is based on monitoring the oscillation of the vessel's outside wall that follows an impact load applied to the external surface of the vessel's wall. The method may employ short range level measurement and long range level measurement procedures. The short-range level measurement utilizes the macro-dynamic properties of the oscillating space in the vicinity of the center of the impact. The long-range level measurement utilizes the properties of the transverse elastic waves propagating along the vessel's wall after the impact. The value of the measured level may be determined by a joint evaluation of the output of the short range level measurement procedure and the output of the long range level measurement procedure.

The aim of the invention is to provide a device and a method for joint evaluation of denitration and demercuration performances of a catalyst. The device comprises pipelines I, II, III, IV, V and VII, a pressure reducing valve, a filter, a mass flowmeter, a one-way valve, a preheating mixer, an electric heating furnace, three-way ball valves I, II and III, a flue gas analyzer, a mercury analyzer, and a catalytic reactor with two gas inlet and a gas outlet. Actual conditions of a factory are simulated by production of flue gases with different ratios. The catalyst with good effects both on denitration and demercuration specific to a specific flue gas can be selected by replacing of different types of catalysts.

A method is for identifying risks as a result of stray currents which flow to ground from a rail which returns a traction current in a track with a DC power supply. In accordance with a first embodiment, in which the voltage between the rail and ground is measured and an increased risk as a result of stray currents is indicated if there is a discrepancy from a voltage reference value, provision is made for the voltage to be measured at a plurality of measurement points along the track and for the measurements to be evaluated in an evaluation center. In accordance with a second embodiment, provision is made for activating a short-circuiter to connect a parallel path to the rail for returning the traction current. The current level in the parallel path is then measured and an increased risk as a result of stray currents is indicated if there is a discrepancy from a current-level reference value. Further, the method includes joint evaluation of a plurality of measurements which have been ascertained along the track.

The present invention relates to a method for detecting an angular position signal representing the rotary motion of a rotating part of an internal-combustion engine. The internal-combustion engine includes at least one combustion chamber. In addition, a speed sensor of the type mentioned initially is provided, the speed sensor outputting a rotation-measurement signal representing the rotary motion of a sensing wheel connected with the rotating part. At least one pressure sensor is also provided that outputs a pressure signal representing the pressure in a combustion chamber. The method according to the present invention has the following steps: Detect the pressure signal, detect the rotation-measurement signal, calculate a correction quantity that is a function, at the least, of the detected pressure signal and rotation-measurement signal, and determine the angular position signal by linking the detected rotation-measurement signal with the correction quantity. The core of the present invention is the identification and very good compensation of the sensing wheel error by performing a joint evaluation of the rotational-speed signal and the compression chamber pressure of one or more indicated cylinders.

In video quality control and estimation, the joint evaluation of compression artifacts and channel artifacts is a problem. The invention considers the joint perception of both a compression artifact level Dm(V) and a channel artifact level Dh(V) in a method for calculating overall distortion in a video being affected by compression artifacts and channel artifacts. The method comprises a step of adding a compression artifact level Dm(V) and a summand S that is derived from log (Dh(V)) multiplied with a factor that decreases with increasing compression artifact level Dm, such as D(V)=Dm(V)+c·(K−Dm(V))·log(Dh(V)). The result obtained is a measure for the overall distortion.

Disclosed, in one general aspect, is a musculoskeletal imaging system that includes a source of feature data extracted from imaging data resulting from imaging acquisitions from joints of different individuals affected by different diseases, and this feature data includes disease characteristic categorization information for a plurality of disease categories. A comparison module is operative to compare patient imaging data resulting from an imaging acquisition from a joint of a patient with the feature data. The comparison module is also operative to provide at least one categorization indicator for the patient imaging data that indicates a correspondence between spatial information in the patient imaging data and the disease categories for which there is extracted categorization information in the feature data.

The invention relates to a joint modeling method based on federated learning, and belongs to the technical field of machine learning. The method includes that a master control node customizes a federated learning strategy according to the target task and controls modeling steps and combination; each participation node performs joint data preprocessing; joint training is performed on each participation node to obtain a final joint model; the master control node distributes the joint model to each participation node to finish synchronization of each node model; and each participation node jointly evaluates the performance of the joint model. According to the invention, the characteristic intermediate indexes of the cooperative terminals are aggregated through the main control terminal, and the characteristics of the overall data are utilized, so that the problems that the feature processing cannot understand the full view of the data and cannot utilize the complete data characteristics are solved; according to the invention, the performance of the joint model under multiple data partitioning modes is obtained through cross validation evaluation, the variance is reduced by averaging the results of the multiple models, and the problem that the model performance is sensitive to the data set partitioning modes is solved.

This invention relates to a joint evaluation method for channel step number and multipath time delay in a wireless transmission field which designs a pair of initial up and down margins for channel steps then to evaluate the multipath time delay, take the time delay tested at the lower margin as the time delay evaluation value and use the checked results of the last few times to test the correctness of the time delays within the up and down margins, if they are close to the results, they are too the evaluation value, otherwise it is seen to be false. The up and down margins of the channel steps are re-determined according to the test results and taken as the base of evaluation next time, to realize the joint test and real-time tracing by repeating the same thing.

The invention discloses a face image quality evaluation method, system and device and a medium. The method comprises the steps of acquiring a face image; preprocessing the face images respectively, estimating face postures of the face images and judging attribute types of faces in the face images; and performing joint evaluation on the quality of the face image according to the preprocessing result, the detection result of the face posture and the result of the attribute type of the face. According to the invention, the face image is subjected to joint evaluation by adopting multiple selectable evaluation indexes, so that the image quality can be evaluated more comprehensively and effectively.

The invention provides an evaluation method for a mutual assistance navigation positioning data confidence level. The method comprises the following steps that: at the same moment, receiving multiplepieces of mutual assistance navigation positioning data sent from a plurality of assistance terminals; for any one piece of mutual assistance navigation positioning data sent from any one piece of navigation positioning data, independently calculating the confidence level of a data source corresponding to the mutual assistance navigation positioning data and the own confidence level of the data; and on the basis of the confidence level of the data source and the own confidence level of the data, carrying out joint evaluation on the received mutual assistance navigation positioning data. By useof the evaluation method for the mutual assistance navigation positioning data confidence level, assistance terminal data credibility, intermediate transmission node credibility, a data supporting relationship and a data conflict relationship are used for evaluation, no priori knowledge is depended, the confidence levels of preorder data and subsequent data are not depended, and the method can adapt to the continuous change of a mutual assistance navigation application scene.

The present invention relates to a method for detecting an angular position signal representing the rotary motion of a rotating part of an internal-combustion engine. The internal-combustion engine includes at least one combustion chamber. In addition, a speed sensor of the type mentioned initially is provided, the speed sensor outputting a rotation-measurement signal representing the rotary motion of a sensing wheel connected with the rotating part. At least one pressure sensor is also provided that outputs a pressure signal representing the pressure in a combustion chamber. The method according to the present invention has the following steps: Detect the pressure signal, detect the rotation-measurement signal, calculate a correction quantity that is a function, at the least, of the detected pressure signal and rotation-measurement signal, and determine the angular position signal by linking the detected rotation-measurement signal with the correction quantity. The core of the present invention is the identification and very good compensation of the sensing wheel error by performing a joint evaluation of the rotational-speed signal and the compression chamber pressure of one or more indicated cylinders.

The invention discloses a joint evaluation model for human-body bioavailability and toxicity of lead in food. The joint evaluation model is characterized by comprising intestinal-mucosa epithelial cells, hepatic cells and a container divided by a microporous membrane into a top side chamber and a substrate side chamber; the intestinal-mucosa epithelial cells are cultured in the top side chamber, and the hepatic cells are cultured in the substrate side chamber. The joint evaluation model is more similar to the human intestinal absorption structure in the model structure, the absorption efficiency of the lead in food in the human body can be accurately measured, the toxicity of the lead in food can be sensitively and efficiently evaluated, and the joint evaluation model can be widely applied to edible safety evaluation of the lead in food.

The embodiment of the invention provides a 2G + 4G mobile network voice quality joint evaluation method and device. The method comprises the steps of obtaining performance file data reported by a 2G base station access server and a 4G base station access server; Preprocessing the acquired performance file data to generate a multi-dimensional database; Comparing the multi-dimensional database withvarious data in a pre-established association database, and enabling a comparison result to correspond to an MOS value in the association database; Based on grids with 2G and 4G telephone traffic simultaneously, clustering comparison results according to the positions of the grids and 2G + 4G voice connection numbers in the grids to obtain L regions with high 2G + 4G service telephone traffic, andrecording the L regions as P; And clustering the L regions of the P to obtain an evaluation result of the average opinion MOS value of each region of the L regions of the P so as to obtain the MOS value distribution state of the whole grid region. According to the embodiment of the invention, evaluation of the voice quality of the 2G + 4G mobile network can be realized.

The invention relates to technique area of designing and validating very large-scale integrated circuit, especially, method for evaluating observable coverage based on enhanced type FUD chain. The method expands functions of FUD chain through adding field of 'dynamic branches' so as to be able to record dynamic locus of executing program. The enhanced type FUD chain is utilized to attribute observable information for hardware design scheme, and evaluate observable percentage of coverage of simulation verification. Basic strategy of the method includes three aspects: observable information is represented by enhanced type FUD chain, event drive analysis, computing method of observable percentage of converage combined with controllable criterion of coverage. Combining with present multiple criterions of coverage, the invention can jointly evaluate controllable and observable situation of coverage so as to raise evaluation capability.

The invention belongs to the technical field of biological medicine and specifically relates to a rectal tumor marker which is Beclin1 protein, and application of a reagent for detecting expression level and / or phosphorylation level of the Beclin1 protein in the preparation of a kit used for detection and / or diagnosis of rectal tumor or used for treatment and / or prognostic evaluation of rectal tumor patients. The kit for detection and / or diagnosis of rectal tumor or treatment and / or prognostic evaluation of rectal tumor patients comprises the reagent for detecting expression level and / or phosphorylation level of the Beclin1 protein. Through joint evaluation of total level and phosphorylation level of the marker, the marker can be used as the reference for early detection and / or diagnosis of rectal tumor as well as the reference for medication monitoring and drug resistance prediction for rectal tumor patients.

The embodiment of the invention discloses an estimation and correction method and device for air sounding observation data. For each air pressure layer involved in to-be-estimated target air soundingobservation data, the evaluation parameters for evaluating the quality of the air sounding observation data of the air pressure layer through the second air sounding observation data observed at the air pressure layer and corresponding mode background data, and the evaluation and correction of the quality of the target air sounding observation data are performed through the evaluation parameters,so as to improve the quality of air sounding observation data. The method achieves the joint evaluation of the quality of the air sounding observation data of the same air pressure layer through the evaluation parameters, and the evaluation result is more accurate. Meanwhile, the method achieves the correction of the air sounding observation data through the evaluation parameters, enables the airsounding observation data to be more reasonable and facilitates the application of the data into an experiment or weather analysis.

A knee examination method includes situating a patient on a patient support adjacent a robotic knee testing apparatus, the apparatus having a motion tracking system. The robotic knee testing apparatus is set up including defining a world coordinate system based on a fixed location of a transmitter of the motion tracking system. The patient is set up including determining one or more local coordinate systems each based on setting up the patient and on one or more robot based points. The robotic knee testing apparatus is operable to manipulate a leg of the patient.

The invention discloses a construction method of integral and local damage joint evaluation model of a concrete filled steel tube member. The construction method comprises the following steps: calculating overall deformation and residual bearing capacity of a concrete-filled steel tube member under each group of impact working conditions; calculating an overall damage evaluation index of the concrete-filled steel tube member; selecting an impact working condition of which the overall damage evaluation index is equal to the overall damage boundary points, and drawing an overall damage evaluation curve corresponding to each overall damage boundary point; selecting any point on the overall damage evaluation curve as total energy consumption, and selecting the numerical value of the horizontal asymptote as overall energy consumption; obtaining a preset local damage evaluation index, and calculating a local damage demarcation point on each overall damage evaluation curve in combination with the local damage evaluation model; and connecting the local damage demarcation points corresponding to the same local damage evaluation index as a local damage evaluation curve, and forming an integral and local damage joint evaluation model by adopting a plurality of damage grades formed by the integral damage evaluation curve and the local damage evaluation curve.

The invention involves a semi-conductor component testing process, and a system for testing semi-conductor components, in which a central computer device, in particular a central test apparatus is provided, with which test result data obtained from at least two separate tests is jointly evaluated, in particular by means of an appropriate pattern recognition process, which incorporates the test result data obtained from the separate tests into the analysis.

The invention relates to the technical field of urban rail transit, and discloses a full-automatic operation post joint evaluation method for an urban rail transit which is realized by a full-automatic operation simulation subsystem, an evaluation subsystem and a communication fusion subsystem. By a test of full-automatic operation personnel, connected evaluation can be carried out on ordering posts and multi-post personnel in normal and abnormal scenes during full-automatic operation, basic driving rules of operation are met, and conditions for carrying out full-automatic operation post personnel responsibility composite skill and emergency processing capability evaluation on other prepared full-automatic operation lines are provided; team joint evaluation among multiple posts can be supported, and single-post independent evaluation can also be supported; the scripted scene description and evaluation scene is composed of a main disposal scene and an auxiliary disposal scene. The auxiliary scene is an emergency randomly appearing in the main scene process, and the player should discover the emergency in time in the evaluation process and handle the emergency according to the auxiliary scene processing flow.

The invention relates to the field of camera detection, and discloses a joint evaluation method for a dual-network model, equipment and a storage medium. The method comprises the following steps: acquiring a plurality of images shot by a vehicle-mounted BSD camera; identifying each image by adopting a semantic segmentation model and a target detection model, and determining whether effective targets with the same category and corresponding positions exist or not; scoring each image according to whether the effective target exists in each image or not and whether the effective target is matched with the alarm target marked in the alarm area of the same image or not under the condition that the effective target exists in each image; and summarizing scores of the multiple images, and determining evaluation results of the semantic segmentation model and the target detection model according to the scores. According to the embodiment, joint evaluation of the semantic segmentation model and the target detection model is realized.

The invention provides a joint evaluation method and a device for a radio resource management (RRM) measurement event. The method comprises steps: the RRM measurement event is associated with a target service cell set in a first group and / or a source service cell set in a second group, wherein the RRM measurement event comprises one or more measurement evaluation amounts; through a filtering module in the inner layer of the first group and / or the inner layer of the second group, the one or more measurement evaluation amounts is filtered to obtain one or more dynamic analysis evaluation values; and dynamic joint evaluation is carried out on the one or more dynamic analysis evaluation values. Thus, the problem that the RRM measurement model and the definition in a related technology can only reflect an independent evaluation relationship of a single measurement evaluation amount is solved, and blank in the related technology is filled.

The invention discloses a system for evaluating joint pressure by multiple-modality imaging. The system is characterized in that the system comprises an acousto-optic emission component, a microwave emission component, an ultrasonic probe, an amplification and collection module and a signal processing module, wherein the acousto-optic emission component and the microwave emission component alternately emit a light signal and a microwave signal to a joint; the ultrasonic probe is used for detecting an acousto-optic signal and a microwave thermo-acoustic signal generated on the joint; the amplification and collection module is used for amplifying and collecting the acousto-optic signal and the microwave thermo-acoustic signal, and transmitting the acousto-optic signal and the microwave thermo-acoustic signal to the signal processing module; and the signal processing module generates an acousto-optic image and a thermo-acoustic image by the acousto-optic signal and the microwave thermo-acoustic signal, and overlaps and reconstructs the acousto-optic image and the thermo-acoustic image to obtain a multiple-modality image. According to the system, an influence on joint evaluation by fuzzy microwave thermal imaging can be eliminated, and more accurate information in the joint, including local pressure, abrasion and the like, in the joint can be obtained.

The invention belongs to the field of assessment of actual projects such as large-scale buildings, public facilities and precision equipment, and particularly provides a tailing dam safety level assessment method based on a two-dimensional cloud model. According to the method, a two-dimensional cloud model scale and a two-dimensional evaluation cloud model projection are used for evaluating the relation between data security level scales in the joint evaluation of heterogeneous data, and the similarity measure coefficient between two-dimensional cloud models is used for determining the evaluation result of the security level. Experimental results show that according to the tailing dam risk assessment method based on the two-dimensional cloud model, randomness and fuzziness of expert prediction module data and sensor module data obtained in assessment are processed at the same time, and support is provided for qualitative and quantitative accuracy of the data.

The invention discloses a method for rapidly and efficiently breeding eurytopic millets. The method includes the steps: firstly, back-crossing novel eurytopic and high-yield millet varieties and sethoxydim-herbicide-resistant millet strains, and combining field phenotype judgment and seedling stage herbicide spraying to obtain true hybrid strains; secondly, performing continuous back-crossing andselection on the novel eurytopic and high-yield millet varieties and the sethoxydim-herbicide-resistant millet strains to effectively remove offspring adverse variation to rapidly obtain excellent back-crossing strains containing herbicide-resistant genes; thirdly, performing multi-point evaluation test tests in advance on the novel millet varieties in different ecological regions, and selectinghigh-yield and good-comprehensiveness varieties without obvious defects from the multi-point tests to take part in a national millet variety joint evaluation test. In the whole breeding process, different generational breeding materials are alternately planted in Anyang and Hainan, the method adopts genotype-environment interaction, novel eurytopic millet materials are effectively selected and evaluated, breeding age limit is shortened, and breeding efficiency is improved.