41results about How to "Overcome incompleteness" patented technology

The invention discloses MBR and A2 / O based treatment method of waste lithium battery electrolyte and electrolyte waste water. Three treatment units are adopted for treatment. The treatment method comprises the steps of firstly treating waste electrolyte, then carrying out absorption by introducing a waste gas generated in the reaction of the electrolyte into waste water, so to remove the waste gas in a waste water treatment process, adopting Fenton oxidation to treat lithium battery waste water, so as to increase the biodegradability of the waste water, removing reaction sediment by sediment flocculation, using an A2 / O and MBR membrane separation and combination process to treat waste electrolyte , finally enabling effluent to pass through an RO (reverse osmosis) unit to ensure the effluent quality, and as for the concentrated water generated by RO, adopting a powdered activated carbon adsorption-ultrafiltration combined technology to remove organic pollutants in the concentrated water, so as to enable the treated water to reach the requirement of high-quality reuse water of RO. The treatment method overcomes the imperfection of a technic of recycling and treating a waste lithium battery in the past, and realizes reduction, harmlessness, reclamation of waste electrolyte waste water treatment.

This invention is a closs certification system to finger print and soundprint, by standard normalization factor method to normalize the indentified result of the fingerprint and soundprint certification of a common area to combine the two values to a new judging vector quantity to train the sample vector first to get the support vector to judge the results by mixing algorithm to get the final result by the method of support vector machine with the advantage of close identity certificating by multicharacters of living things (fingerprint, soundprint) to mix with the method of support vector machine to conbine the two identification results to raise the fault to learnce, lowering uncertainty and increasing the reliability of identifying the decision.

The invention discloses an image redirection quality evaluation method based on statistic similarity and bidirectional significance fidelity. The image redirection quality evaluation method is characterized in comprising the following steps of: 1) obtaining the natural scene statistical characteristics of the log-Gabor domains of an original image and a redirected image, and obtaining a difference value of the natural scene statistical characteristics of the log-Gabor domains of the original image and the redirected image as a natural scene difference value statistical characteristic; 2) obtaining a forward significance information missing value and a backward significance information missing value; 3) obtaining the significance structure fidelity value of the image; 4) forming redirection quality evaluation characteristics by the natural scene difference value statistical characteristic, the forward significance information missing value, the backward significance information missing value and the significance structure fidelity value; and 5) utilizing a support vector regression model to train and predict the redirection quality evaluation characteristics so as to obtain a quality evaluation model. By use of the image redirection quality evaluation method, the change of the natural scene statistical characteristics is considered, in addition, the significance fidelity of the image is measured from two directions, and the subjective visual quality of the redirected image can be more accurately predicted.

The invention relates to a comprehensive evaluation and characterization method for horizontal ecological hazards of a system. The method comprises the following steps: constructing an ecological microcosm system simulating a natural environment; setting a series of concentrations and uniformly exposing chemicals in a certain-phase or multi-phase matrix of the microcosm system so as to start a microcosm hazard test; periodically testing the indexes of the chemicals on the structure, functions and internal environment change of the system; determining the lowest chemical concentration (NOEC index i) through which each index in a treatment group obviously deviates from that of a control group and the lowest chemical concentration (NOEC system) which causes the change of the whole microcosm system at the specific exposure time; and performing graphical representation on the comprehensive hazard path of the chemicals on the structure, functions and internal environment of the whole system. The method disclosed by the invention is suitable for high-level evaluation of ecological hazards of chemicals, the biotoxicity of the chemicals is fully reflected, and the ecological hazards of the chemicals are comprehensively illustrated from three aspects such as the structure, functions and internal environment of the ecological system.

The invention relates to a power distribution network model releasing method based on model clusters. The power distribution network model releasing method is characterized in that a model releasing request is processed through model releasing service; according to a header triggering relation graph and a header outer key constraint relation graph, the model releasing service enables a model table to be synchronized in the request to be organized into a triggering relation graph and an outer key constraint relation graph in an establishing mode, and accordingly based on triggering relation and outer key constraint relation, a model table to be synchronized is subjected to sorting organizing; according to the triggering relation graph and the outer key relation graph, all difference model description information is organized into the model clusters, and the effect that difference model description information with incidence relation is organized into a unit is achieved; and the model clusters are used as units, corresponding model difference description is converted into SQL sentences. One model cluster corresponds to one SQL sentence block, and accordingly the synchronization effect with the model clusters as units is achieved. The model clusters are used as the units for model releasing, when errors happen, the current model clusters can retreat integrally, and a model incomplete defect is avoided.

The invention discloses a rock-soil mass mining balance structure classifying method under thick unconsolidated formation condition. The rock-soil mass mining balance structure classifying method comprises the following specific steps that (1) a geological survey is conducted in a mining area, (2) mining factors of the mining area are determined; (3) the critical arch height h0 of a main rock arch and the critical arch height h'0 of an auxiliary rock arch of an overlaying rock-soil layer mining balance arched structure are determined; (4) the forming or fracture condition of a rock-soil arch is judged according to the critical arch height h0 of the main rock arch, the critical arch height h'0 of the auxiliary rock arch, the comparison between the thickness of base rock and the thickness of the unconsolidated formation and the water containing conditions of the base rock and the unconsolidated formation; and (5) according to the formation or fracture condition of the rock-soil arch, the type of the overlaying rock-soil layer mining balance arched structure is determined, and mining balance arch structure models of the overlaying rock-soil layer under different mining states are determined. The two modes of ground surface movement evaluation based on transverse mining adequacy and evaluation of three rock layer moving zones in the vertical direction are integrated, and a novel evaluation system for rock-soil mass mining subsidence under the thick unconsolidated formation condition is built.

The invention relates to a composite microbial agent for degrading polycyclic aromatic hydrocarbon pollutants in frozen-thawed soil and its application. Under low temperature conditions, Pseudomonas sp. SDR4 and Mortierella alpine JDR7 synergistically degrade polycyclic aromatic hydrocarbons in freeze-thaw soil. The removal rates of Pyr and BaP in freeze-thaw soil are respectively 37.15% and 27.41%, providing an effective method for the degradation of polycyclic aromatic hydrocarbons in freeze-thaw soil in cold regions.

A polarimetric SAR image classification method based on residual learning and conditional GAN, the steps of which are: (1) constructing a conditional GAN ​​generator; (2) constructing a conditional GAN ​​discriminator; (3) to classify the polarimetric SAR image (4) Perform Pauli decomposition on the filter scattering matrix; (5) Normalize the feature matrix; (6) Generate training data set and test data set; (7) Residue the deep and shallow features in the generator Difference learning; (8) Classify the features after residual learning; (9) Obtain the classification accuracy rate; (10) Train the generator of the conditional GAN; (11) Classify the test data set. The invention performs residual learning on the deep and shallow features of the polarimetric SAR image obtained in the generator, and extracts comprehensive feature information, so that the area consistency of the classification result map is good and the classification accuracy is high.

The invention relates to a method for fusing and integrating multi-source spatial data. The method specifically comprises the following steps that: a user sends a shared data request to an administrator; the administrator receives the shared data request and examines and approves whether the user is allowed to share data or not; if the examination and the approval are passed, the user organizes and uploads the data required to be shared to a server according to a complete element object and implements the step III; if the examination and the approval are not passed, the administrator returns the message which implies that the examination and the approval are not passed to the user; the administrator invokes a platform data conversion function, and an object-oriented approach is adopted in the platform data conversion to convert the data shared by the user to data adopting a GML (Geography Markup Language) format; the administrator distributes the data required by the user in the GML format according to the user demands. The method for fusing and integrating the multi-source spatial data has the benefits that the problems that element object information is incomplete when existing multi-source spatial data is subjected to format processing, and the access efficiency of the shared data in a Web service mode is low are solved.

The invention provides a cross-city accessibility database creation device and method. The method comprises the steps of acquiring station information of each station through which a cross-city line passes in sequence; according to the station information of each station through which the cross-city line passes in sequence, determining cities through which the cross-city line passes in sequence; according to the cities through which the cross-city line passes in sequence, acquiring cross-city accessibility information; storing the cross-city accessibility information and the cross-city line into a cross-city accessibility database in an associated way. Creation of the complete cross-city accessibility database is realized.

This invention relates to a weight combined multi-mode identity identification method based on score difference, which first of all utilizes a group of sample data of speakers and the score of each speaker model in each sample templet of a traditional mono-mode sorter to record the score difference of two speakers if the model and the sample got the maximum score belongs to different speakers then accumulates all these differences in the single sorters to decide the weight of each mode by the score differences of the sorters. The effectiveness is: carrying out cross identity identification by multiple biology properties and applying an amendatory weight algorithm SDWS based on the score difference to combine two biological identification modes and integrate the results of the identification.

The invention relates to a fast speaker confirming method based on the ordinal number comparison of anchor model spatial projection, firstly making anchor model mapping on the test voice, and then making ordinal number comparison between the mapped test voice and the speaker declared by the test voice. The anchor model mapping: firstly extracting the characteristics of the test voice to obtain an eigenvector sequence, then estimating the probability density of each Gauss mixed model in the anchor model and the background model to obtain a mapped score vector. And the ordinal number comparison arranges the scores in the vector components and compares the score ordinal numbers of the test voice and the declared speaker and calculates Euclidian distance between the ordinal numbers, and finally compares the distance with a threshold value to obtain the final result. The invention has wider safety and adaptivity.