92 results about "Power exponent" patented technology

The invention discloses a user experience quality sensing method of a mobile data network, comprising the following steps of: based on the difference of services, taking a network, a network element and a link as analysis objects, and respectively generating KPIs (Key Performance Indicators) according to the equipment log, the network management report and the signalling data; converting each KPI into a dimensionless parameter; converting each KPI into a KQI (Key Quality Indicator) through a power exponent algorithm, wherein the power exponent method is to generate an experience factor sequence for service characteristics of each service according to the sort order of the service characteristics, take the experience factor having high affection degree to the user experience as the root and take the experience factor having lower affection degree to the user experience as the power exponent to establish the algorithm for converting the KPI into the KQI. Thus, the KQI can reflect the user experience to the specific services more accurately, and the QoS (Quality of Service) obtained through the KQI is more accurate.

The invention discloses a Chinese medicinal material microscopic image feature extraction and recognition retrieval method. A PCNN time matrix information processing method is introduced, image feature information in a transform domain is extracted through combination of PCNN and image Fourier transform and decimal power exponent filtering phase, and a Chinese medicinal material microscopic image information rapid storage and recognition retrieval method is put forward on the basis of mahalanobis distance with combination of comprehensive similarity measure of a Pearson product moment correlation method so that a holographic Chinese medicinal material microstructure image and pollen image feature extraction and recognition retrieval system is constructed, objectivity, accuracy, repeatability and intelligent degree of Chinese medicinal material quality evaluation can be further enhanced, and a new approach is provided for modernization of Chinese medicinal material detection and analysis.

The invention discloses a new fully homomorphic encrypted ciphertext division implementation method, which can implement encryption on real numbers (data) with any size and execute ciphertext homomorphic division operation on two encrypted ciphertexts. The method comprises the following steps: when a user uploads the data, implementing polynomial coding on the data, and then carrying out fully homomorphic encryption, uploading the encrypted ciphertexts and a power exponent of the dividend to a cloud server, ensuring that the cloud server can directly execute division operation to any two encrypted ciphertexts that are uploaded to the server, and then enabling the server to return the calculation result to the user, and ensuring that the user decrypts the result by using a private key of the encryption algorithm to obtain a plaintext calculation result.

The invention relates to a method for measuring load thresholds of geotechnical packing accumulated deformation states under cyclic loading. According to the method, brick walls and sand bags are adopted to construct a filling model, so as to form a testing system along with loading equipment and a displacement sensor, and a cyclic loading test is performed on the filling model, so as to obtain a changing curve of accumulated deformation with loading times; then the changing curve of segmented single loading average deformation with the loading times is obtained through calculation, and a negative power function as shown in the specification is adopted to fit, so as to obtain a relation curve of a power exponent Pi value with the change of load levels; a function relation between the Pi value and the load levels is obtained by virtue of cubic polynomial regression, and the corresponding load levels when P is equal to 2, 1 and 0 are obtained through back calculation, so as to be used as the load thresholds delta t1, delta t2 and delta t3 for distinguishing different evolution states of the accumulated deformation, wherein an experimental basis is respectively provided for design and maintenance of ballastless and ballast track bed structures of railways by the delta t1 and delta t2. The method has the advantages of convenience in model manufacturing, low cost, simplicity in operation and clear distinguishing criterion, and the obtained load thresholds are accurate and reliable.

The invention discloses a vibration damping and noise reduction device of an acoustic black hole. The vibration damping and noise reduction device comprises a disk-shaped structure whose distance between upper and lower surfaces is reduced gradually from the central axis to the external periphery, the disk-shaped structure comprises a block hole area, the distance between upper and lower surfacesof the black hole area is changed in the form of power exponent from the central axis to the external periphery, the disk-shaped structure is added to a noise reduced structure to carry out vibrationdamping and noise reduction on the noise reduced structure, the thickness of the noise reduced structure needs not to be reduced, and the noise reduced structure is avoided from locally high dynamic response or reduction of the structural intensity.

The invention discloses a novel method for correcting an error of a wide-area ionized layer, wherein one of monitoring stations placed in the middle is taken as a central station according to the distribution of the monitoring stations for the ionized layer, and the central station and two edge stations radiating outwards form a triangle which is taken as a triangle sub-area. The covering area of the monitoring station is divided into areas consisting of a plurality of triangle sub-areas so as to establish a triangle sub-area ionized layer model covering the whole network service area. The vertical ionized layer delay at three vertexes (the monitoring stations) can be obtained through resolving according to the triangle sub-areas in which puncture points of the user ionized layer are located, the data (VTEC) of the ionized layer at the puncture points can be calculated through a distance power exponent weighting method, and then the data can be converted to the content (TEC) of a station-star oblique ionized layer through obliquity factors. The method solves the problem of accurate correction for the ionized layer in regions of China according to the characteristic that a grid model is difficult to establish for the topography distribution in China.

The invention provides an oil-water relative permeability symptom processing method based on reservoir physical property. The method comprises the following steps: selecting oil-water relative permeability curve data measured by a multi-strip laboratory and capable of reflecting area or reservoir physical property; establishing a function relation of the oil-water relative permeability curve characteristic parameter as well as air permeability and porosity of a rock core sample, performing standardization processing on the water content saturation, oil content saturation, water-phase relativepermeability and oil-phase relative permeability; respectively establishing a power function relation of a standard water phase, the oil-phase relative permeability, the water content saturation, andthe oil content saturation, establishing a function relation of a power exponent as well as air permeability and porosity, and using different reservoir physical property data to obtain the differentoil-water relative permeability curves. The method establishes the base for deduction of a calculating method for oil reservoir engineering, an oil-water displacement theory and oil reservoir value simulation by taking regard of seepage heterogeneity, accurately predicts the oil-water displacement exploitation effect and trend, and guides the oil field exploitation and production practice.

A security protocol method, a compute device and storage medium. The method of one embodiment includes: after determining the middle component of current participant based on the additive shared component of current participant of the prime number to be determined, sharing the power exponent approximate integer of the prime number to be determined with the opposite participant to obtain the powerexponent approximate integer shared component of current participant; Sharing the modular operation result with the opposite participant, obtaining the shared component of the current participant modular operation, sequentially performing polynomial multiplication sharing and modulo-digital operation with the opposite participant, and obtaining the shared secret component of the current participant; after the current participant exchangesshared secret component of the current participant, When the recovered first shared secret coincides with the recovered second shared secret of the opposite end participant, returning the operation result of the shared modulo finger until the number of cycles reaches the preset safe number of cycles, and when the first shared secret and the second shared secret coincide in each cycle of the preset safe number of cycles, judging the primes to be determined to be prime numbers.

The invention discloses a contention window adjusting method and device. The contention window adjusting method includes that an access point initializes a first parameter, the first initialized parameter is issued via beacons, the first parameter is power exponent of the minimum contention window, the first parameter meets the formula CWmin=2ECWmin-1, the ECWmin is the first parameter, and the CWmin is the minimum contention window; the access point acquires network quality parameters within a preset beacon period and adjusts the first parameter when the network quality parameters exceed the threshold value range, so that the minimum contention window meets data transmission requirements. By the contention window adjusting method, the access point is capable of intensively controlling adjustment of the contention window, network control is reinforced and easy to implement.

The invention relates to a large-core-diameter bend insensitive energy transmitting optical fiber. The large-core-diameter bend insensitive energy transmitting optical fiber comprises a core layer and cladding layers and is characterized in that the core layer is distributed according to a gradually-changing refractive index, the distribution power exponent alpha ranges from 1.8 to 2.1, the maximum value delta1%max of the relative refraction index difference of the core layer ranges from 1.0% to 2.5%, the radius R1 of the core layer ranges from 95 micrometers to 500 micrometers, the inner cladding layer and the outer cladding layer are sequentially arranged on the core layer from inside to outside, the relative refraction index difference delta2% of the inner cladding layer ranges from -0.6% to -1.3%, the specific value of the radius of the inner cladding layer to the radius of the core layer satisfies the equation that w1=R2 / R1 and ranges from 1.05 to 1.2, the outer cladding layer is a pure quartz glass layer, and the specific value of the radius of the outer cladding layer to the radius of the core layer satisfies the equation that w2=R3 / R1 and ranges from 1.1 to 1.4. According to the large-core-diameter bend insensitive energy transmitting optical fiber, the light receiving capacity and the light condensation capacity of the optical fiber can be remarkably improved, the optical fiber has good transmission efficiency and can bear high-energy laser transmission, the design of the profile with the gradually-change refractive index is adopted for the core layer, and therefore the optical fiber has the self-focusing effect and has more advantages in practical application such as laser processing.

The invention discloses a method for comprehensively evaluating key parameter errors of complicated mechanical systems. The method includes rejecting useless parameters by means of analyzing evaluation influence factors, and then constructing systems for evaluating the key parameter hierarchical structure errors of the complicated mechanical systems on the basis of the idea of AHP (analytic hierarchy processes); converting sorting computation on evaluation indexes into pairwise comparison on the evaluation indexes by the aid of characteristic vector processes on the basis of improved Delphi processes, measuring the importance of the various evaluation indexes by the aid of scales, computing pairwise ratios and constructing judgment matrixes; allocating weights of indexes for comprehensively evaluating key parameters and then comprehensively evaluating and analyzing the key parameters by the aid of power exponent comprehensive evaluation processes; acquiring influence of parameters of bottom layers on parameters of each upper layer according to power exponent evaluation models and ultimately acquiring influence of the key parameters on the precision of the complicated mechanical systems by parity of reasoning. Vectors corresponding to characteristic values of the judgment matrixes are relative weight number sorting relation vectors of the evaluation indexes. The method has the advantage that the influence degrees of input parameters on the precision of the complicated mechanical systems can be effectively analyzed by the aid of the method.

The invention provides a method for predicting recoverable reserves of a shale gas well based on early production data. The method comprises the steps: 1, preparing historical yield data of the shale gas well; 2, using a beta function method for flowing stage division and data processing; 3, fitting the yield of the shale gas well in each production period according to a power exponent decline curve, and predicting an upper limit value of the recoverable reserves according to a fitting curve; 4, predicting a lower limit value of the recoverable reserves of the shale gas well in each production period according to a daily gas yield linear extrapolation model; 5, respectively fitting the upper limit value and the lower limit value of the recoverable reserves with a exhaustion decline model, and determining a predicted upper limit value corresponding to the upper limit value of the recoverable reserves and a predicted lower limit value corresponding to the lower limit value of the recoverable reserves; 6, determining an upper and lower limit interval of the recoverable reserves according to the predicted upper limit value and the predicted lower limit value of the recoverable reserves. According to the method, the predicted recoverable reserves are more reliable by using the early yield.

The invention relates to a bending-resistant multimode fiber comprising a core layer and a cladding. The refractive index profile of the core is in [alpha] power exponent function distribution. The bending-resistant multimode fiber is characterized in that the cladding successively comprises, from inside to outside, an inner cladding, a first sunk cladding, a second sunk cladding, and an outer cladding; the core layer has a distribution index [alpha] from 1.9 to 2.2, a radius R1 from 23 to 27[mu]m, and a maximum relative index of refraction [delta]1 from 0.9 to 1.2%; the inner cladding has a radius R2, a unilateral radial thickness R2-R1 from 0 to 6.0[mu]m, a relative index of refraction difference [delta]2 from -0.3 to 0.03%; the first sunk cladding has a radium R3, a unilateral radial thickness R3-R2 from 2.5 to 6.0[mu]m, and a relative index of refraction difference [delta]3 from -0.6 to -0.2%; the second sunk cladding has a radium R4, a unilateral radial thickness R4-R3 from 6.0 to 10.0[mu]m, and a relative index of refraction difference [delta]4 from -0.3 to -0.2%; and the outer cladding is a pure silicon dioxide glass layer. The bending-resistant multimode fiber has excellent bending resistance and broad bandwidth performance.

The invention discloses a video fusion performance evaluating method based on high-order singular value decomposition. The video fusion performance evaluating method based on the high-order singular value decomposition mainly solves the problem that the fusion performance of video images containing noise cannot be evaluated in the prior art. The video fusion performance evaluating method based on the high-order singular value decomposition comprises the implementation steps that two registered reference videos and a registered fusion video are input respectively; a four-order tensor is formed by the input videos, the high-order singular value decomposition is carried out on the four-order tensor, and respective space geometrical characteristic background images and respective time motion characteristic images are obtained; the time motion characteristic images are divided into motion target areas and noise areas through a thresholding method; then, different evaluation indexes are designed respectively to evaluate all the areas; lastly, an overall performance evaluation index is structured through power exponent multiplication, and thus evaluation on the whole fusion performance of the video images is achieved. The video fusion performance evaluating method based on the high-order singular value decomposition can effectively, accurately and objectively evaluate the fusion performance of the videos in a noise environment, and can be used for monitoring fusion video image quality.

The invention discloses a curve transition method of a variable thickness strip transition area, and relates to a variable thickness strip rolling technology. According to the method, the curve transition of the transition area is conducted through a double power function curve with the same front half power exponent and the rear half power exponent and a double power function curve with different front half power exponent and the rear half power exponent. The curve of the transition area has the advantages of being continuous and smooth, adjustable in shape, and capable of eliminating rolling force mutation in transition area rolling and reducing the maximum rolling force. The curve transition method of the variable thickness strip transition area is significant for rolling production of the variable thickness strip and rolling machine maintenance.

The invention discloses a human face recognition method and system based on kernel non-negative matrix factorization, and a storage medium. The method comprises the steps: constructing a fractional order inner product kernel function, wherein the fractional order inner product kernel function exerts no limit on a power exponent parameter; obtaining a fractional order inner product kernel non-negative matrix factorization algorithm through the combination of the fractional order inner product kernel function and the kernel non-negative matrix factorization; and carrying out the human face recognition through the fractional order inner product kernel non-negative matrix factorization algorithm. The method solves a problem that the power parameter of a polynomial kernel function just can be an integer, and enables the selection of the power parameter to be more flexible. The method effectively irons out the changes of posture and illumination in human face recognition. Moreover, the method is quick in convergence and excellent in recognition performance.

The invention discloses a signature method of preventing side-channel attack from multi-azimuth. The signature method of preventing side-channel attack from multi-azimuth is characterized in that the technology or similar technology contained in the signature method masks the base, and an RSA signature or other public key system signatures are obtained; in the signature method of preventing side-channel attack from multi-azimuth, two module exponentiation results are obtained at the same time, and the power exponents are radix minus one complement for each other; when modular exponentiation is realized, the verification technology of preventing outputting error data is used; and for the modular exponentiation algorithm which does not use the jump statement, the signature method of preventing side-channel attack from multi-azimuth is the technology that during the operation process, the data or the operation result data is equal to the Hamming weight. The signature method of preventing side-channel attack from multi-azimuth effectively protects the step which is known and is easy to be attacked during the RSA STD operation process. The modular exponentiation provided by the signature method of preventing side-channel attack from multi-azimuth can be fully applied to the RSA CRT operation, and can realize that the algorithm of the modular exponentiation algorithm and the complementary power can be transplanted to the point multiplication operation of SM2 at the same time. The test that whether the module exponentiation is attacked can be similarly transplanted in the point multiplication operation of SM2.

The invention discloses a remote sensing method for estimating a particle fraction structure of offshore water body phytoplankton. The method comprises the steps of performing diagnostic pigment analysis (DPA) on HPLC data which are obtained through voyage, and obtaining a Chla concentration value which corresponds with each particle diameter; performing derivation based on a power exponent relation according to field measured remote sensing reflectivity data for obtaining a localized parameter; and finally applying an established model to a satellite, thereby obtaining PSC time-space distribution information which is inversed by the satellite. The remote sensing method has advantages of settling a problem of offshore water body phytoplankton particle fraction structure inversion, algorithm shortage in China, expanding application of water color remote sensing satellite data, and improving acquiring capability for an essential parameter of phytoplankton particle fraction structure.

The invention discloses a complex rock fractal dimension distribution spectrum constructing method based on a mercury intrusion method capillary pressure curve. In the method, an accumulative formula with multiple fractal dimensions is constructed based on the power exponent relation between mercury injection saturability and mercury injection pressure, an iterative singular value decomposition algorithm is used for solution to obtain multiple ratios corresponding to the fractal dimensions, and then a fractal dimension distribution spectrum is obtained. Compared with a traditional fractal theory and model, the capillary pressure curve with segment and fractal features can be depicted meticulously through the complex rock fractal dimension distribution spectrum constructing method. In a traditional single fractal dimension method, only one fractal dimension is obtained for the capillary pressure curve of one sample, while multiple fractal dimensions and the ratios thereof can be obtained for the capillary pressure curve of one sample through the distribution spectrum constructing method, the fractal dimension distribution spectrum is constructed, and a new train of thought is brought for pore structure analysis and fractal representation of complex rock.

The invention relates to a method for measuring a load threshold value of a soil deformation state of a railroad bed under a static load. The method is characterized by comprising the following operating steps: building a filling model in a model case formed by rigid side walls and applying static loads in grade to the filling model by using a round rigid loading plate according to different proportionality coefficient lambda of the ultimate bearing capacity; measuring and calculating plastic deformation rates vi(t) of soil at different moments t in a loading process by using a displacement sensor, taking data points of the rates and fitting the data points according to a negative power function v(t)=At-alpha; and obtaining a power exponent alphai value corresponding to the load proportionality coefficient lambda, and fitting the power exponent alphai value to obtain an alpha-lambda curve according to a cubic polynomial, wherein taking loads piI=lambdaIsigmaf and piII=lambdaIIsigmaf corresponding to lambdaI and lambdaII of two curature maximum values of the alpha-lambda curve are adopted as the load threshold value of the soil deformation state. piI and piII can be used for providing test grounds for design and optimization of ballastless / ballast track beds of a high speed railway and a deformation state evaluation and regulation principal, respectively. The method has the characteristics of being relatively short in testing time and specific in criterion, and the obtained load threshold value is relatively accurate and reliable.

The invention discloses a WIFI indoor positioning method based on hybrid filtering and power exponent mapping. The method comprises the following steps: firstly, performing Kalman filtering on received signal strength RSSI measured at an offline fingerprint collection stage, then rounding off the result to obtain an integer, performing Gaussian filtering to remove RSSI values with relatively small occurrence probability, then averaging the residual RSSI values, and finally figuring out -7 squares of all data to map the data into a power exponent domain. A K nearest neighbor algorithm is used as a positioning matching algorithm, thereby improving the positioning accuracy, and the calculated amount during the positioning is almost equal to that of the K nearest neighbor method, thereby being adaptive to positioning terminals with low computing performance and complex indoor electromagnetic environments.

A decoder for performing log-sum corrections by means of a linear approximation, putting stress on speed, with a reduced circuit dimension without adversely affecting the decoding performance of the circuit. The decoder includes a linear approximation circuit that computes the log-sum corrections using the function F=−a P−Q+b, where the coefficient −a represents the gradient of the function and the coefficient b represents, the intercept and are expressed by a power exponent of 2.

The invention discloses a rainfall interpolation analysis method based on weight optimization and inverse distance weighting, which comprises the steps of acquiring and processing rainfall basic data; selecting a reference point; simulating a weight distribution; evaluating and determining a power exponent; adjusting a weight calculation distance; evaluating and determining a weight optimization index; calculating the distance; adjusting the distance; simulating the weight distribution again; and calculating and evaluating the interpolation. The rainfall interpolation analysis method based on weight optimization and inverse distance weighting effectively prevents problems of relatively low spatial gradient of the interpolation result and easy interference by long-distance known points in a traditional inverse distance weighting method, and obtains an ideal spatial interpolation result.

The invention discloses a method and device for constructing quasi-cyclic LDPC (Low Density Parity Check) codes by utilizing cyclotomic cosets. The method comprises the following steps that: r cyclotomic cosets with the same element number Ci equal to i, 2i, 4i, ..., 2k-1i are selected from multiple cyclotomic cosets of a model (2m-1); wherein m is the integral multiple of k, and m, r and i are positive integers; r conjugate cosets Mi1, Mi2, ?-Mir are generated, wherein in each conjugate coset Mil={alpha<il>, alpha<2il>, ?-alpha<a<k-1>il>}, l is larger than or equal to 1 and smaller than or equal to r, and alpha is a primitive element of a galois field GF (2m); wherein the element of each cyclotomic coset is used as the power exponent of alpha; a basis matrix W is generated through r conjugate cosets Mi1, Mi2,?-,Mir; each field element in the basis matrix W multiplies the corresponding alpha by a cyclic permutation matrix Ai, j is used for replacing to generate a parity check matrix H; and the null space of the parity check matrix H generates 2m element quasi-cyclic LDPC codes.

A decoding method includes that when encoding at a sending terminal, for a m-order primitive polynomial P(x), a primitive field element in galois field GF(2m) is represented by α; a lookup table f(αj) for different power exponents of α is established, where the value of j is selected from all the integers ranging from 0 to 2m−1, with a total number of 2m; a generator polynomial G(x) is expanded to obtain a polynomial with respect to x, with coefficients being an addition or subtraction of the power exponents of α; a remainder polynomial R(x), obtained by dividing code word polynomial Q(x) by the generator polynomial G(x), is a polynomial with respect to x, with coefficients being an addition or subtraction of the power exponents of α; and the coefficients of the generator polynomial G(x) and the remainder polynomial R(x) are both calculated using data found in the lookup table f(αj).

A quartz cladding large-power-transmission dispersion optical fiber and a manufacturing method thereof relate to the technical field of optical communication and related sensing devices. The dispersion optical fiber is composed of a core layer, a first quartz cladding and a second quartz cladding which are successively arranged from inside to outside. The core layer is doped with Ge element; the refractivity of the core layer changes in a gradual manner; and furthermore distribution power exponent is 1.5-3.3. The first quartz cladding contains bubbles and has a light scattering function. The refractivity of the second quartz cladding is higher than that of the first quartz cladding. The quartz cladding large-power-transmission dispersion optical fiber and the manufacturing method have advantages of enduring relatively high power and relatively high temperature, improving stability and reliability of the optical fiber, and effectively settling a color change problem of the optical fiber in illumination.

Disclosed is a method for determining the rolling curve for the two-way rolling process of a ring. By determining the dimensions Df, hf and bf of the formed ring and the dimensions D0, h0 and b0 of a blank, the coordinates of the starting point of the rolling curve and the coordinates of the ending point of the rolling curve are obtained. Then, relevant roller dimension parameters and technological parameters are obtained, and the reasonable value range of a power exponent n is determined. Finally, the specific value of the n and the form of the rolling curve are determined, a corresponding rolling curve equation can be determined, and therefore the graph of the rolling curve is obtained through drawing. For rolling of a certain ring product, the method can be used for determining upwards-convex, linear and downwards-concave rolling curves at the same time; for the upwards-convex rolling curve and the downwards-concave rolling curve, a series of rolling curves can be obtained by selecting different power exponents n. Thus, the special requirements for rolling curves in different convex and concave degrees can be met in the rolling processes of different rings, an important method and an important foundation are provided for shape and property integrated forming of rings made of materials difficult to deform, and realization of automation of the double-way rolling process of the ring is facilitated.