64results about How to "Reliable basis" patented technology

A method of detecting attacks in a wireless data communications network, includes: monitoring wireless traffic over the wireless data communications network; deriving a first network state from the monitored wireless traffic; acquiring trusted information indicative of a wireless network state from at least one apparatus of a network infrastructure; establishing a second network state based on the acquired trusted information; comparing the derived first network state with the second network state, and determining a wireless network attack in case of incoherence between the derived first network state compared to the second network state.

The invention discloses a human myeloperoxidase (MPO) chemiluminescent immunodetection kit. The kit comprises the following components: 1) a human MPO standard product; 2) a vector coating a human MPO monoclonal antibody; 3) the enzyme-labeled human MPO monoclonal antibody; 4) a chemiluminescent substrate on which the enzyme acts; and 5) a concentrated cleaning solution. The kit can perform concentrated quantitative detection on the MPO molecules in a serum sample of a patient. The kit effectively utilizes a chemiluminescent technology principle and adopts the enzyme to catalyze the chemiluminescent substrate on the basis of enzyme-linked immunoassay so as to improve the detection sensitivity, has the advantages of high stability, high specificity, excellent accuracy, simplicity in operation and no radioactive pollution, and can provide specific, quick and reliable basis for clinical diagnosis of cardiovascular diseases such as atherosclerosis (AS), acute coronary syndrome (ACS) and coronary heart disease (CHD).

The invention discloses a prediction method for concentration of gas dissolved in transformer oil based on a deep belief network. The method comprises the steps of 1, determining parameters related tothe concentration of the gas dissolved in the transformer oil; 2, acquiring sample data of historical time dimensions of the related parameters; 3, 3 building a deep belief network model; 4, trainingthe deep belief network model, determining the parameters, and acquiring feature information of the historical time dimensions; 5, predicting feature information of future time dimensions; and 6, rebuilding prediction data of the future time dimensions of the related parameters based on the feather information of the future time dimensions so as to achieve prediction on the concentration of the gas dissolved in the transformer oil. In addition, the invention also discloses a corresponding system. According to the method provided by the invention, the concentration of the gas dissolved in thetransformer oil can be predicted based on automatic analysis on association between the related parameters, and thus a better prediction effect is achieved.

The invention relates to an energy perception based method for a cognitive user to estimate parameters of an authorized user in a cognitive radio communication system, belonging to the technical field of parameter estimation for authorized users. The invention aims at solving the problems that in the cognitive radio communication system, the cognitive user cannot obtain parameters of the authorized user during spectrum handover in appearance of the authorized user, and further cannot maximize the benefit. The method comprises that an authorized channel model is established, and the state probability distributions of authorized channels are obtained; busy and idle state changes of the authorized channels are described through a hidden Markov model (HMM), and a hidden state transfer probability matrix of the authorized channels is obtained; the detection probability and the false alarm probability are obtained via calculation in an energy perception method; a confusion matrix is further obtained; and finally the HMM is estimated in a Baum-Welsh algorithm to obtain the estimated value of the HMM. The method of the invention is used for estimating the parameters of the authorized users.

The invention discloses a dam seepage behavior analysis method considering various uncertainties. The method comprises the following steps: step 1, constructing a sample pair by utilizing a Latin hypercube sampling method and a dam seepage numerical simulation model; step 2, establishing an agent model by utilizing the sample pairs constructed in the step 1; and step 3, quantifying various uncertainties in the inversion process by adopting a random method, calculating seepage parameters to be inverted based on a Bayesian rule, and correcting the dam seepage numerical simulation model by usingthe seepage parameters to be inverted obtained by calculation, thereby accurately analyzing the dam seepage behavior. Various uncertainties are comprehensively considered in a seepage parameter randominversion method, so that dam seepage parameters are accurately and reliably inverted, and seepage performance is reasonably analyzed and evaluated.

The invention discloses a system for analyzing coupling risks in failure behaviors of an integrated avionics system under big data environment. The system comprises a failure risk coupling extracting unit and a key failure behavior determining unit; the failure risk coupling extracting unit can extract association relationship existed among failure behaviors items; the key failure behavior determining unit can determine key failure behavior items in the association relationship. The system of the invention can analyze risks that cause failures in the integrated avionics system when coupling exists in some failure behaviors of the integrated avionics system, and realizes bid data mining of the integrated avionics system.

The invention discloses the amplification of ITS break sequence in Bactrocera dorsalis rDNA by nesting PCR, comprising the following steps: amplifying the specific ITS fragment of the Bactrocera dorsalis rDNA by designing a nesting specific primer; using the specific ITS fragment of the amplified Bactrocera dorsalis rDNA to accurately and quickly identify actrocera dorsalis flyblow in fruit, and determining the difference of the amplification Bactrocera dorsalis flyblow and relative species by sequences. The method has reliable result, can quickly detect the existence of Bactrocera dorsalis flyblow in fruit and determines the species evolutionary relationship through sequence analysis.

The invention relates to the technical field of construction project management, and particularly discloses a BIM-based project progress and project payment management system and method. The system comprises a BIM model management module, a project progress management module, a material management module and a project payment management module; the BIM model management module is used for establishing a complete BIM model of an engineering project, dividing an engineering project into a plurality of construction areas and sub-item projects, and calculating project amount information for the construction areas and the sub-item projects; the project progress management module is used for setting a project plan progress, generating an identification code of current transportation and obtaining an actual project progress; the material management module is used for acquiring material entry information and material exit information; and the project fund management module sets a payment scheme and performs project fund settlement. According to the invention, the real condition of engineering progress can be obtained, so that related information forms closed-loop circulation, the workload of managers is reduced, the management efficiency is improved, and engineering disputes are reduced.

The invention, which relates to the technical field of geotechnical engineering investigation, discloses a geotechnical investigation method based on a high-density electric method and a treatment system thereof. The geotechnical investigation method comprises: selecting a measuring area and arranging a measuring net; placing all electrodes on all measuring points of an observation section; collecting data rapidly by using a program-controlled electrode conversion device and a microcomputer engineering electrical measuring instrument; and sending a measuring result into the microcomputer. Therefore, the rapid data collection and microcomputer processing are realized and thus the e traditional working mode of resistivity exploration is changed, so that the work efficiency is improved and the labor intensity is reduced. Since the high measuring point density is set for the high-density electrical method, the vertical and horizontal two-dimensional exploration process can be completed atone time, so that the observation accuracy is high and the data acquisition is reliable. The obtained geological information is rich, and the basis is reliable.

The invention provides a SAGD low-physical property interlayer acidification transformation method. The method includes the steps that a layering injection pipe is deployed in a transformation oil stratum, the upper portion of the lower portion of the interlayer injection pipe are blocked, and the middle of the layering injection pipe is connected with a separated injection valve; transformation liquid is injected into the layering injection pipe, the transformation liquid comprises, by weight, 4-6 wt% of hydrochloric acid, 20-30 wt% of hydrofluoric acid, and the balance water, and the hydrochloric acid, the hydrofluoric acid and the water are used for finishing acidification transformation on an SAGD low-physical property interlayer; according to m rock stratum=rhoV=rho pi R2h/5, the quality of the transformation oil stratum is obtained, the rho is the rock stratum density, and the unit is g/cm<3>; the R is the processing radius, and the unit is m; the h is the thickness of the transformation oil stratum, and the unit is m; the amount of substance of the transformation oil stratum is solved; the consumption amount of HF is solved; finally, the consumption amount of HC1 and water is determined in combination with the HF consumption amount. The SAGD low-physical property interlayer acidification transformation method is reasonable and efficient, low in construction risk and high in success rate.

The invention discloses an element decomposing and combining method for sensing product geometric deviation evaluation. The method comprises the following steps: (1) selecting sample evaluation images and a reference standard map, wherein the terrain selection requirement is that parallax caused by the altitude difference in the image region is less than an image element; (2) determining to performing combination evaluation on two evaluation contents, namely geometric positioning deviation and relative geometric positioning deviation; (3) selecting homonym control points with stable positionsand obvious features on the sample evaluation images and the reference standard map; (4) performing combined measurement and calculation on all elements of the geometric positioning deviation and therelative geometric positioning deviation; (5) carrying out statistics on the element elevation results, and carrying out visualized expression on the element evaluation results respectively; and (6) comparing the visualized expression results with the distribution rule diagram of geometric positioning deviation caused by imaging geometric parameter deviation, selecting the rule diagrams of which deviation direction and positive and negative trends are consistent with those on the visualized diagram, positioning the imaging geometric parameters corresponding to the rule diagram as an imaging system deviation source, and accomplishing the element decomposing and combining analysis in sensing product geometric deviation evaluation.

The invention discloses a ground fault diagnosis method for a direct current system. The method is characterized in that I1 and I2 are supposed to be respectively current provided to a load by a 'positive' bus and a 'negative' bus of the direct current system, and (1) an induced electromotive force U waveform of a detection winding W2 is positive-negative alternate and is symmetric to a rectangular pulse of a time axis when the I1 is equal to the I2; (2) when the direct current system is faulted and the I1 is higher than the I2, a positive pulse train of induced electromotive force U of the detection winding W2 deviates leftwards while a negative pulse train deviates rightwards; and (3) when the direct current system is faulted and the I1 is lower than the I2, the positive pulse train of the induced electromotive force U of the detection winding W2 deviates rightwards while the negative pulse train deviates leftwards. Complicated change of the direct current system is simplified into change of the induced electromotive force, the method is simple, practical and reliable, a waveform diagram is more visual to observe, and reliable basis and guidance are provided for maintainers to further maintain the direct current system.

The invention relates to the technical field of precious stone production place identification, and particularly discloses a production place identification method of Shandong sapphire. The productionplace identification method of Shandong sapphire is characterized by comprising the following steps of preparing a sapphire sample to be identified; performing appearance inspection on the sapphire samples; using an LA-ICP-MS technology for performing trace element detection on the sapphire samples; performing analysis result calibration by an external standard-internal standard combined calibration method; using the Al content measured by an electronic probe testing technology as the internal standard; using an artificial synthetic silicate glass NIST SRM 642 reference sample invented by theU.S. National Institute of Standards and Technology (NIST) as the external standard; through inspection identification, using relatively higher V content and high Ga content as the features to perform distinguished identification on the Shandong sapphire. The operation steps are simple; the identification method is scientific and reasonable; the identification result is accurate; the trace element content is used as the distinguishing features; the basis is reliable; the method is suitable for being widely popularized and applied.

The present invention relates to a method for calculating total ship steam consumption, and belongs to the technical field of ships. The method for calculating total tank steam consumption comprises: firstly calculating tank steam consumption in a heat preservation state; analyzing and solving the tank steam consumption in a heating state by using a calculus method and through a differential equation; and finally taking steam consumption data to multiply an appllication coefficient of a tank, and obtaining the total tank steam consumption. According to the method disclosed by the present invention, a more accurate result of the tank steam consumption in the heating state can be obtained, accuracy for calculating the total ship steam consumption is significantly improved, and a more reliable basis and guarantee are provided for type selection of a ship boiler.

The invention relates to a molecular diagnosis method for the rapid detection of a bactrocera dorsalis ovum in fruits, which adopts a nested type PCR to amplify ITS break sequence in bactrocera dorsalis rDNA, amplifies specific ITS segments in the bactrocera dorsalis rDNA through designing a nested type specific primer to accurately and rapidly identify the bactrocera dorsalis ovum in the fruits, and determines the differences of the ovum and the resembling variety thereof. The method has reliable result, can rapidly detect the existence of the bactrocera dorsalis ovum in the fruits, and determine the species evolution relation of the sample through sequence analysis.

The invention belongs to the field of road engineering, and relates to a foamed asphalt foaming effect evaluation and foaming parameter optimization method. The method comprises the following steps: performing image acquisition on a mixed foamed asphalt mixture, analyzing and processing by adopting an MATLAB digital image technology, and evaluating the foaming effect and preferable foaming parameters of the foamed asphalt by taking the distribution uniformity of the asphalt as an index, wherein the uniform dispersion index parameters comprise an asphalt coating area ratio [sigma], a control coefficient M, an agglomeration index AI and a variable coefficient Cv of a coating rate after grid division. Compared with the prior art, the evaluation method provided by the invention can quickly and effectively evaluate the asphalt dispersion effect after the foamed asphalt mixture is mixed, and can calculate an accurate numerical value as a judgment basis to optimize the foaming parameters, thereby avoiding the defect that the foaming parameters are roughly determined by experience in the prior art; and the method has the advantages of being simple, rapid and easy to implement, and reliable basis and guiding significance can be provided in engineering.

The invention discloses a non-signal injection type user transformer topological relation identification method based on a genetic algorithm. The method comprises the steps: obtaining effective data after data cleaning and screening according to electrical quantity data information, returning the effective data to a storage list TValidDataSet, and randomly generating an M*N initialization chromosome population data matrix Pop_data according to the effective data; entering a loop process; calling a fitness function; calling a selection function, a crossover function and a variation function ofthe genetic algorithm to obtain updated NewPopdata and chromosomes containing Pop_num optimal selection results; setting a premature condition, and entering a reset function call of the genetic algorithm; and obtaining a final NewPopdata, and obtaining a judgment result of each row corresponding to each household meter through the mapping relationship. According to the method, the problem of topology identification of a low-voltage transformer area can be solved by utilizing the data of an existing acquisition system, namely other equipment systems do not need to be installed.

The invention discloses a clustering-based automatic driving lane changing scene classification method and a clustering-based automatic driving lane changing scene identification method. The classification method comprises the following steps: 1) collecting data of each sample point needing lane changing scene classification; 2) preprocessing the data in the step 1); (3) taking each preprocessed sample point as a cluster, calculating the distance between the sample point of each cluster and the sample points of all other clusters by adopting an agglomerated hierarchical clustering algorithm, and carrying out combined clustering on two clusters with the closest distance; and 4) taking the clusters which are combined and clustered together as lane changing scenes, and outputting clustering results. According to the automatic lane changing scene classification method and the automatic lane changing scene identification method, an accurate and reliable basis is provided for further improving an automatic lane changing algorithm and an optimization function, and scene classification identification with high efficiency, low cost and high scene coverage rate is realized.