209 results about "Derivation method" patented technology

A method and apparatus for providing improved security and improved roaming transition times in wireless networks. In the present invention, the same pairwise master key (PMK) from an authentication server can be used across multiple access points and a new pairwise transition key (PTK) is derived for each association of a station to any of the access points. A plurality of access points are organized in functional hierarchical levels and are operable to advertise an indicator of the PMK cache depth supported by a group of access points (N) and an ordered list of the identifiers for the derivation path. Access points in each level in the cache hierarchy compute the derived pairwise master keys (DPMKs) for devices in the next lower level in the hierarchy and then deliver the DPMKs to those devices. An access point calculates the PTK as part of the security exchange process when the station wishes to associate to the access point. The station also computes the PTK as part of the security exchange process. The station calculates all the DMPKs in the hierarchy as part of computing the PTK. The method and apparatus of the present invention allows the cache depth to vary per station, but it remains constant for a given station within a key circle.

A deblocking filtering method, a boundary strength (bS) deriving method, and encoding/decoding method and apparatus using the methods are provided. The bS deriving method includes the steps of: deriving a boundary of a deblocking filtering unit block which is a unit block on which deblocking filtering is performed; and setting a bS for each bS setting unit block in the deblocking filtering unit block. Here, the step of setting the bS includes setting a bS value of a target boundary corresponding to the boundary of the deblocking filtering unit block as the bS setting unit block.

The invention discloses a key derivation method and device applicable to digital currency and belongs to the field of information security. The key derivation method applicable to digital currency comprises the steps of splicing indexes of father public keys and sub-key indexes according to a sequence; using father chain codes as Hash keys, and calculating Hash values of spliced data based on a preset algorithm; obtaining sub-chain codes based on the Hash values; performing ECC (Elliptic Curve Cryptography) addition modular operation on captured residual data; if the operation results are not preset values, regarding the operation results as sub-private keys; and performing ECC point multiplication operation on the sub-private keys to obtain sub-public keys. The key derivation method and device applicable to digital currency have the beneficial effects that backup of key seeds rather than all the keys is required as all the keys can be derived based on the key seeds, the backup volume is small, and loss caused by key damage also can be avoided.

A non-local means method is insufficient in its noise reduction effect or edge retainability due to a perfect match between blocks in a case where a reference pixel matches a target pixel. Therefore, information on a target region and plural reference regions is obtained for the target pixel. Whether the target region matches any one of the reference regions is determined from the obtained information. Switching between weight derivation methods based on similarity between the target region and the reference region is performed according to a determined result.

The invention discloses a method for synchronously analyzing a base, a nucleotide, an organic acid, a fatty acid, an amino acid and a saccharide metabolic product with a two-step derivation method. The method comprises the following steps of: performing a series of physicochemical method technical treatment such as ultrasonic treatment, centrifugation, oximation, urea removing, phosphorus removing, sulfur removing, protein removing, nitrogen blowing, vacuum drying, and trimethyl silylation derivation on biological substrate samples (such as urea, blood, cerebrospinal fluid, and tissue fluid); and detecting the biological substrate samples by adopting a gas chromatograph-mass spectrum combination technology. Due to the adoption of method, programmed treatment can be performed on the biological substrate samples simultaneously, and over 400 kinds of metabolic intermediate and final products of over five kinds of substances can be detected at one time.

A computer implemented method and apparatus for authenticating a field tool by a field device comprising: receiving, on a field device, an authentication certificate; verifying the authentication certificate using a trust anchor certificate on the field device; securing communication between the field tool and the field device with a key generated by a key derivation method using exchanged certificates; receiving a field tool task authorization certificate; verifying the authorization certificate using a trust anchor certificate on the field device; receiving a task request to perform a task by the field tool; and determining whether the task is authorized based on the task authorization certificate; and performing the task on the field device when it is determined the task is authorized.

The invention discloses a speed planning method of a cutting machine. The speed planning method comprises the steps of: 1) determining a corresponding ladder step length table by adopting an S-like five-stage acceleration and deceleration control method; 2) implementing variable acceleration by determining relations among an inflection point speed, a corner size and an acceleration, and adjusting the acceleration according to a current real-time speed when passing through different corners of a track; 3) calculating a self-adaptive inflection point speed, and determining a final corner speed according to an angular velocity solution formula and a speed reverse derivation method. The speed planning method of the cutting machine provided by the invention effectively shortens the motion acceleration and deceleration time and increases the corner speed in the cutting process.

The invention relates to an implementation method for processing an FBG (fiber bragg grating) sensing signal based on a three-point peek-seeking algorithm. The method comprises the steps of providing a peek-seeking processing flow, and giving three elements influencing the peek-seeking accuracy according to the flow, wherein reasonable selection of a window size is a key point for improving the peek-seeking accuracy, and the size of a spectral processing window is determined by adopting a derivation method; the spectrum in the window is resampled by arranging sampling intervals, and sparse spectrum data is acquired and subjected to polynomial fitting; a proper wavelength interval delta lambda is selected according to the fitting result, the coordinates of three points can be determined, the peak value of the FBG reflectance spectrum is detected, so that the central wavelength can be acquired, and external physical parameters can be demodulated.

The invention discloses a liquid chromatography tandem mass spectrum method for detecting sulphur amino acids in blood plasma using a non-derivation method and belongs to the field of biochemical analysis and detection. The method comprises the steps that the blood plasma is added to an isotope internal standard solution, and a mixed solution is mixed evenly, then, dithiothreitol (DTT) is added to restore, and supernatant with the sulphur amino acids is obtained after protein precipitation treatment. A sample is pretreated by the adoption of the non-derivation method, the method is simple, the operation is easy, and the sample pretreatment procedures are greatly simplified; the interference for detection by matrix is reduced by the isotope internal standard, and the accuracy of homocysteine, cysteine and methionine detection is ensured. According to the liquid chromatography tandem mass spectrum method for detecting the sulphur amino acids in the blood plasma using the non-derivation method, an LC-MS/MS method is used for detecting the sulphur amino acids in the blood plasma, a multiple-reaction detection MRM scanning mode is adopted, cross interference between (i) d (/i) (i) 3 (/i) -methionine and homocysteine (136> 90 passage) exists, base lines of the cross interference are separated by elution conditions of a chromatography gradient, and the accuracy of the detection is ensured. The method is high in sensitivity, strong in specificity and accurate in result.

The invention discloses a river phase relation suitable for a runoff tidal estuary area and derivation method thereof. The method is characterized by comprising the following steps: S1, primarily deriving the river phase relation by combining the O'Brien method with the Douguoren method; S2, establishing a current mathematic model according to the actually measured data of the river, and solving the current mathematic model by use of a finite volume method; S3, selecting a river area only under the runoff effect, and fitting the river phase relation of the runoff river area; S4, selecting the engineering river area of the representative upstream runoff flow; S5, dividing the river area into a certain number of cross sections, equally dividing the river width of each cross section into several, and calculating through the river phase relation of the runoff river area fitted in the step S3; and S6, respectively calculating the average wetted area A and QT falling of the river area in the step S4 by use of the current mathematic model in the step S2. The river phase relation disclosed by the invention has extremely high precision when qualitatively and quantitatively describing the relation of a river power condition and the channel morphology at the runoff tidal estuary area.

The invention relates to a sensor energy saving method of available Wi-Fi in an internet of things. The method is characterized in that a high-speed data transmission method is adopted for sensor equipment in an AP communication radius range. A deriving method of the sensor energy saving method of the available Wi-Fi in the internet of things comprises the steps of: firstly, analyzing system models in a typical Wi-Fi sensor network structure, then defining a plurality of different scenes, and researching the influences of all basic operations of the system models on aspects such as power consumption, interference or reliability and the communication radius in each scene. The sensor energy saving method of the available Wi-Fi in the internet of things has the advantages that the high-speed data transmission method is adopted for the sensor equipment in the AP communication radius range, the power consumption of a sensor is effectively lowered, and the service lifetime of a battery is prolonged.

The invention provides a false message detection method based on a traffic flow model in vehicular ad hoc networks and aims at an attack initiated by an attacker in the network through sending a falsealarm message and forging an emergency traffic event; vehicles in the upstream and downstream road sections serve as authenticators, the local vehicle density is observed based on a vehicle-mounted sensor, a Bayesian decision model is established to calculate a posterior probability of real occurrence of the emergency event, and the false alarm message is detected; in order to reasonably take values for key parameters of the model, a traffic model is established based on a traffic flow theory, a dynamic change process of a state of the traffic flow is represented by using a differential equation, a balanced concept is defined to indicate that the emergency event is a steady state of the vehicle density in true/false two traffic modes, and a balance point derivation method is given. Experimental results show that the established traffic model can better predict the dynamic change of the traffic flow, the detection accuracy can be effectively enhanced, and meanwhile, the collusion attack resistance is remarkably enhanced.

The invention discloses a user classification method based on multi-model fusion, belongs to the technical field of machine learning, and solves the problems of less dimension, low precision and complex iteration in traditional model classification. The method comprises the steps that a data set containing user characteristics is acquired and processed; the method is based on an XGBoost algorithmand two different Y value intersection interval settings, different derivation methods are selected to derive characteristics in the processed data set; the data set features and all the derived features are input into two XGBoost models as a new data set for training and optimization, and the leaf node number of each training set sample at each tree is output by the two XGBoost models after optimization; one-hot coding is trained according to leaf node number ser, and the leaf node number output by each XGBoost model is subjected to the trained One-hot code conversion to obtain all LR features corresponding to the training set samples, and training an optimization LR model based on the LR features corresponding to all the training set samples; and an XGBoost + LR fusion model is obtainedto classify the users. The method is used for classifying users based on multi-model fusion.

An image determination apparatus, an image reading apparatus, and an image determining method include a device for cutting a color/monochrome region based on a color saturation value obtained by a predetermined derivation method based on image data, and a device for detecting image errors located in large boundaries of brightness variations including color distortions based on correlations between color saturation and color. When errors are included in the image data acquired by, for example, a color image scanner due to primary color errors at random locations (in particular, color bleeding that occurs as a color distortion in monochrome achromatic color areas), it is possible to extract characteristics from the image data and detect locations in images where color distortions and color bleeding occur without using especially complicated and special compositions to detect where these errors occurred.

A conductivity distribution derivation method for deriving a conductivity distribution within a battery having an electrode plate that is flat includes: obtaining magnetic field information indicating a magnetic field; and deriving, based on a plurality of relational expressions which (i) an x component of a magnetic field vector in an x direction parallel to the electrode plate, (ii) a y component of the magnetic field vector in a y direction parallel to the electrode plate and perpendicular to the x direction, (iii) the conductivity distribution on a two-dimensional plane parallel to the electrode plate, and (iv) an electric potential distribution on a two-dimensional plane parallel to the electrode plate satisfy, the conductivity distribution that satisfies the plurality of relational expressions with respect to the magnetic field information.

The invention discloses a dangerous chemical road transportation drainage basin water environment risk assessment method, which adopts an environment sensitive receptor influence derivation method, takes an environment sensitive receptor as an assessment basis, screens an environment risk road section according to the influence degree of dangerous chemical leakage to be transported on the environment sensitive receptor, and grades the environment risk road section; identifies a plurality of environmental risk road sections according to the drafted hazardous chemical substance transportation route, and then performs the environmental risk assessment and environmental risk grade division one by one on the road sections to serve as an auxiliary decision basis for finally determining a hazardous chemical substance transportation route scheme. The invention further discloses a dangerous chemical road transportation drainage basin water environment risk assessment system. An environment riskassessment module identifies an environment risk receptor around the leakage path, an environment risk source and environment risk substance information; the risk source identified by the environmentrisk identification sub-module is evaluated on the basis of an environment risk source evaluation method, the environment risk level of the risk source is evaluated, and the decision-making module isassisted to realize the prediction simulation of the sudden environment event.

The invention provides a method for deriving water-quality reference values for human health protection and a water-quality safety evaluation method. The water-quality safety evaluation method comprises the following steps of: when an operation of evaluating whether some water quality is safe is required to be performed, firstly, rapidly obtaining a water-quality reference value for human health protection; and then, analyzing a detected water environment, judging whether the water quality of the detected water environment conforms to the water-quality reference value, if so, determining that the detected water environment is a safe water environment, otherwise, determining that the detected water environment is an unsafe water environment. An operation of evaluating whether the water quality is safe can be performed rapidly and accurately. By using the method for deriving water-quality reference values for human health protection, a derived water-quality reference value for human health protection is more scientific and reasonable, and can provide a scientific basis for the water quality standard formulation, water-quality evaluation and water-quality management of environmental protection administrations.

An updating unit updates an attitude represented by quaternion by defining an initial attitude represented by quaternion as an initial value, and successively substituting output values of the triaxial gyro sensor. A second converter converts the attitude represented by quaternion into an attitude in the Euler angle representation. An angular speed derivation unit derives an angular speed based on a time-dependent change in the attitude in the Euler angle representation. The output unit outputs an angular speed derived based on an output value of a monoaxial gyro sensor, when a difference between a pitch angle derived based on the output value of the triaxial acceleration sensor and the output value of the second converter and a pitch angle from the second converter is equal to or larger than a threshold value.

The invention discloses a coding method of a pseudo random code track grating ruler, the pseudo random code track grating ruler made by using the coding method of the pseudo random code track gratingruler and a method for reading the pseudo random code track grating ruler. The pseudo random code track grating ruler includes a linear guide rail, a reading head and a pseudo random code track grating ruler body; the pseudo random code track grating ruler body includes a main ruler, a vice ruler and an incremental code track; the code tracks of the main ruler and the vice ruler are grating grooves which are arranged continuously at non-equal internals and are arranged according to the coding method, and the incremental code track is periodic grating grooves which are arranged continuously atequal internals. The grating ruler is high in resolution ratio and large in range capacity, the startup identification position distance is short, a mathematical derivation method of an absolute valuecode track is simple, and the manufacturing technique of products is simplified.

The invention discloses a staging design flood derivation method in an integrated climate mode. The staging design flood derivation method comprises the steps: establishing a coupling model of a GCM and a VIC so as to predict the reservoir runoff process under the future climate change scene; through an arithmetic average method, obtaining an average state runoff process under a climate change scene; analyzing the runoff process by adopting a probability variable point method to divide a main flood period and a non-main flood period; constructing a reservoir design flood peak quantity most possible combination method calculation model through a Copula function; and taking reservoir prediction runoff data under a future climate change scene as input of a designed flood peak quantity combination method calculation model, and meanwhile, calculating the united design values of the reservoir under different recurrence period levels by considering multivariate same-frequency combination and most possible combination. The staging design flood derivation method has a strong statistical basis, and provides a new way for staged design flood calculation under a climate change scene.