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51 results about "Joint evaluation" patented technology

A high-rise residential area forced arrangement scheme generation design method based on a conditional generative adversarial network

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.
Owner:HARBIN INST OF TECH

Joint modeling method based on federated learning

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.
Owner:成都数融科技有限公司

Evaluation method and system for mutual assistance navigation positioning data confidence level

ActiveCN108108395AAdapt to the continuous change of mutual assistance navigation application scenariosAdapt to continuous changes in application scenariosCharacter and pattern recognitionSpecial data processing applicationsJoint evaluationConfidence interval
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.
Owner:ACAD OF OPTO ELECTRONICS CHINESE ACAD OF SCI

Construction method of integral and local damage joint evaluation model of concrete filled steel tube member

ActiveCN112883600AAddressing Inaccurate Damage Assessment ResultsSolve the problem that it is impossible to comprehensively evaluate the different damage forms of CFST members before and after crackingGeometric CADDesign optimisation/simulationJoint evaluationArchitectural engineering
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.
Owner:SOUTHWEST JIAOTONG UNIV

System and method for evaluating joint pressure by multiple-modality imaging

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.
Owner:连云港市第二人民医院

Method for rapidly and efficiently breeding eurytopic millet varieties

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.
Owner:安阳市农业科学院

Anchor Node Deployment Method for Wireless Location System Based on Received Signal Strength Indication

ActiveCN104093205BExcellent anchor node location coordinatesMaximize deployment efficiencyGenetic modelsLocation information based serviceJoint evaluationGenetic algorithm
The invention discloses a method for deploying anchor nodes of a wireless positioning system based on RSSI. Average positioning errors and the signal coverage rate are comprehensively considered and are jointly optimized. Firstly, a statistic model is adopted to describe positioning errors of a system, and time-varying signal strength parameters are modeled as Gaussian distribution. Then, the threshold value distance measurement distance which can effectively avoid disturbance is given out based on a residual error of fitting data according to the disturbance problem in the RSSI distance measurement process of the nodes, distance measurement information is screened according to a threshold value to obtain a space point set which meets positioning coverage conditions, and the coverage rate is calculated. Finally, the average positioning errors and the signal coverage rate are used as the joint evaluation standard, meanwhile, the number of the deployed anchor nodes is considered, the anchor nodes are converted into a single object optimization function of deployment efficiency through a linear weighted sum method, the function is solved through a genetic algorithm based on integer coding, and therefore the optimal anchor node deployment position is obtained, and the positioning performance of the system is improved.
Owner:STATE GRID CORP OF CHINA +4
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