216results about How to "Sure reasonable" patented technology

The invention discloses an image processing method, an image processing device and electronic equipment and belongs to the field of image processing. The method comprises the steps of obtaining an image and a depth value of each pixel point of the image; determining a concern point of the image; for each pixel point of the image, determining the type of the pixel point according to the distance between the pixel point and the concern point and the difference value of the depth value of the pixel point and the depth value of the concern point, wherein the type comprises a background sample point and a foreground sample point; according to a preset image processing method, processing the pixel points corresponding to the background sample point and/or the foreground sample point. According to the image processing method, the image processing device and the electronic equipment, the problems that a blurring region is not reasonable to determine and the blurring effect is not good in a background blurring processing mode which is related to a background technology are solved, the foreground and the background of the image are precisely divided, and when the image processing method is applied to the backing blurring processing, the blurring region is more reasonable to determine, and the blurring effect is improved.

The invention discloses a side slope dynamic stability coefficient determination method and technology based on underground water level change and displacement monitoring data. The landslide formation motivation and mechanism are cross coupled with displacement response information change and an evaluation method thereof. A nonlinear unload and load response ratio parameter prediction model is established so that the side slope stability coefficient determination method based on underground water level and displacement change is established. According to the landslide displacement prediction method, the idea of a conventional displacement time sequence prediction method that only landslide displacement or displacement rate is selected to act as monitoring and evaluation parameters is changed, and simultaneous monitoring and integration of landslide underground water level and displacement or displacement rate are put forward so that the coupling integration power prediction parameter and evaluation method of landslide underground water level and displacement or displacement rate is confirmed. The limitation that a static limit mechanics evaluation method cannot analyze and evaluate the change rule of side slope stability along with time can be overcome by the method, and a defect that the conventional displacement time sequence prediction method cannot analyze and evaluate the landslide formation mechanism and motivation can also be overcome by the method.

The invention discloses a deblocking filter method. The deblocking filter method comprises, according to the relation between the prediction modes and/or the prediction directions of neighboring coding blocks and a boundary direction, determining the boundary strength of the two coding blocks, thereby determining the boundary strength more reasonably and improving the performance of deblocking filter. According to the deblocking filter method, masking effects of brightness and directive textures on block boundaries are also taken into consideration, when the masking effects reach a certain level, the boundary strength is directly set to be zero, so that computation of the boundary strength can be simplified. The invention also discloses an adaptive loop filter method. According to the adaptive loop filter method, by means of the relevance pixel values before and after the deblocking filter, the loop filter performance can be improved.

The present application discloses a method, apparatus, computer device and storage medium for predicting click rate. In the method, the steps are included: the computer device obtaining input characteristics for predicting click probability of a target user to a target object; according to the input characteristic, determining a fitness degree of a plurality of prediction models for predicting theclick probability; using the plurality of prediction models to predict the prediction click-through rates corresponding to the input features respectively; the click probability of the target user tothe target object being determined according to the predicted click probability predicted by the plurality of prediction models and the corresponding fitness of the plurality of prediction models. The scheme of the present application can improve the accuracy of predicting the click probability of a user to a certain content.

The invention discloses a fixed-time truncation reliability test method for Weibull distributed product. The method comprises the following steps: S1, according to historical data, a shape parameter m of Weibull distribution is obtained and a basic parameter of a fixed-time truncated test plan is determined; S2, an allowable failure number c of the test plan is determined based on the shape parameter m of the Weibull distribution and the basic parameters of the fixed-time truncated test plan; and S3, total test time T of the test plan is determined according to the allowable failure number c of the test plan. According to the invention, a Weibull distributed product can be authenticated reliably and a test plan is determined scientifically and reasonably, so that the product reliability evaluation level is improved; and the design sizing and batched production of products are controlled precisely, so that the quality and reliability of the product are improved.

The invention discloses a selection method for strengthening dedicated channel transport format set and a device thereof. The method comprises: calculating the code rate of each E-TFC by user equipment, which corresponds to each modulation mode, according to an authorization control message distributed by a network side; according to the code rate of each E-TFC, which corresponds to each modulation mode, and the wireless resource configuration message distributed by the network side, determining a candidate E-TFC set corresponding to each modulation mode; according to the authorization controlmessage and the wireless resource configuration message, determining the code rate corresponding to the maximum authorization transmission power which corresponds to each modulation mode and is allowed on an E-PUCH information channel; according to the code rate corresponding to the maximum authorization transmission power, determining the subset of the candidate E-TFC as the E-TFC set corresponding to each modulation mode; selecting an E-TFC set used for transmitting data from the E-TFC set corresponding to each modulation mode, and adopting a modulation mode corresponding to the selected E-TFC set to package data. On the basis of fully considering the resources distributed by the network side, the method can quickly and reasonably determine a suitable E-TFC set to transmit data.

The embodiment of the invention discloses a method and equipment for determining a main transmission point. The method comprises the following steps of: configuring a transmission subset for user equipment by network side equipment; and transmitting configuration information of the transmission subset to the user equipment by the network side equipment, and indicating the user equipment to select a transmission point in the transmission subset as the main transmission point. In the embodiment of the invention, the transmission subset is configured in a measurement set by the network side equipment to ensure that the user equipment (UE) selects the main transmission point in the transmission subset configured by the network side equipment, and feeds a mark of the main transmission point back to the network side equipment, so the selection of the transmission point can be realized by the UE, the differentiated feedback of channel state information of different transmission points is realized, and the transmission point which transmits data to the UE is reasonably determined.

The invention relates to the field of a fatigue strength property test of solid materials and discloses a multi-axle fatigue analyzing method and a system thereof. A main shaft direction and a load of a main shaft are more effectively and reasonably determined so as to rapidly carry out a multi-axle fatigue service life calculation process. According to the invention, the multi-axle fatigue analyzing method comprises the following steps of: reading N groups of load data groups which are pre-obtained; carrying out relevancy analysis on the N groups of load data groups; if an analyzing result is more than a pre-set threshold, carrying out equivalent single-axle load data treatment on the N groups of load data groups and carrying out fatigue analysis on the processing result according to single-axle fatigue service life calculation or a security coefficient algorithm so as to obtain damages or service life; and if the analyzing result is not more than the pre-set threshold, carrying out multi-axle rain flow counting treatment on the N groups of the load data groups; and obtaining the damages or the service life according to a multi-axle service life algorithm or the security coefficient algorithm.

The invention relates to the wireless communication field, and particularly relates to a technology for determining business priority in a wireless communication system. A determination method of a business priority comprises the following steps: determining the business demand at different time intervals in the period of changes in business demand of a base station subdistrict according to the obtained business demand information of the base station subdistrict; determining the business priority within a time interval in the period of changes in business demand of the base station subdistrict for each time interval in the period of changes in business demand of the base station subdistrict according to business demand within the time interval. The invention also provides a method, a device and a system for wireless resource allocation and business priority determination. As business priority at different time intervals within the period of changes is determined according to business demand in each time interval within the period of changes of business demand of the base station subdistrict, thus the business priority can be adjusted according to the changes of business demand; the wireless resource allocation can be carried out according to the adjusted business priority, so as to improve the wireless resource utilization rate and operation profit.

The invention discloses a photovoltaic output time sequence simulation method based on a multi-scene state transition matrix and conditional probability sampling. The photovoltaic output time sequencesimulation method is used for simulating and generating photovoltaic time sequence output considering seasonal characteristics, daily characteristics, weather characteristics and fluctuation characteristics. The method comprises the following steps: firstly, aiming at a monthly photovoltaic output sequence, taking FCM clustering as internal optimization, and taking DB (-)clustering effectivenessindex as external optimization to form an original photovoltaic output sequence scene with clearer data characteristics. Secondly, establishing photovoltaic output state transfer matrixes of differentscenes, generating a photovoltaic output time sequence through a Markov chain Monte Carlo method, in the process, carrying conditional probability sampling through the Copula theory, generating a photovoltaic output state value at the next moment, and superposing the fluctuation amount conforming to the original probability distribution characteristic. Compared with an existing model, the probability statistics characteristic and the time sequence characteristic of the data are more accurate, and the implementation process is simple and easy to implement.

The invention discloses an AGC power multi-objective random optimization distribution method based on improved TOPSIS-Q. The method comprises the steps that (1), a state discrete set and a motion discrete set are determined; (2), state-motion value functions and state-motion probability matrixes are initialized; (3), real-time output active power of sets of a current control period regional power grid is collected; (4), immediate award values of optimization objectives are obtained; (5), the state-motion value functions of the optimization objectives are undated; (6), normalization processing is carried out on state-motion value matrixes through a range transformation method to solve optimal weight coefficients; (7), greed motion under the current state is solved, and the state-motion probability matrixes are updated; (8), motion is selected according to the current state-motion probability matrixes, and the step (3) is executed again when the next control period comes. The multi-objective optimization method is combined with an improved TOPSISI multi-objective decision method, and the dynamic multi-objective random optimization requirement for an AGC closed-loop control system with the high requirement for real-time performance can be met.

The invention discloses a method for determining the cascade reservoir interval incoming sediment amount and distributing the cascade reservoir interval incoming sediment amount along the flowing path. The method includes the steps that firstly, the sediment runoff data of cascade reservoir main stem and branch control stations, damsites and intervals are collected; secondly, the sediment runoff and process of the damsites in the typical series year are determined according to the ratio of the average yearly sediment runoffs of the damsites to nearby control hydrometric stations in multiple years; thirdly, the sediment runoff difference between the upstream reservoir damsite and the entering-reservoir control station serves as the uncontrolled interval incoming sediment amount, and the sediment runoff difference between the upstream reservoir damsite and the downstream damsite serves as the uncontrolled interval incoming sediment amount of the downstream reservoir; fourthly, in the uncontrolled interval, when one branch has no sediment runoff data in the typical series year but has the average yearly sediment runoff data in multiple years, the branch uses the average yearly sediment runoff data in multiple years; and fifthly, other incoming sediment amount except for the know branch in the uncontrolled interval is evenly distributed into the main stem watercourse along the flowing path. By means of the method for determining the cascade reservoir interval incoming sediment amount and distributing the cascade reservoir interval incoming sediment amount along the flowing path, the cascade reservoir interval incoming sediment amount can be determined reasonably, and technical support is provided for prediction and calculation of sediment erosion and deposition of the cascade reservoir.

The invention discloses a rail transit station classification method based on big data. The method comprises the following steps: determining an average travel distance of shared bicycles; constructing a peripheral space buffer area of the rail transit station; constructing thiessen polygons around the rail transit stations; determining a rail transit station space influence range; obtaining interest points in the research range; counting the number of various interest points in the space influence range of the rail transit station; calculating an interest point dominance index and a uniformity index in the space influence range of the rail transit station; determining rail transit station classification indexes; and determining the type of each rail transit station according to the interest point dominance index and the interest point uniformity index of each rail transit station and the proportion of each interest point. According to the method, firstly, the space influence ranges ofdifferent rail transit stations are determined. The station types are determined based on actual rail transit station elements in the influence ranges. The high innovation and applicability are achieved. The problem of rail transit station classification can be reasonably and effectively solved.

The invention discloses a construction method of deeply buried tunnel chamber excavation based on analysis of partition fracture evolution of surrounding rock. The construction method comprises the steps that 1, the tunnel chamber excavation is performed; 2, basic mechanical parameters of the surrounding rock is determined; 3, the analysis of the partition fracture evolution of the surrounding rock is performed, specifically, the fracture evolution analysis of the surrounding rock is carried out for an existing constructed tunnel, based on the analysis results, the number of fracture zones M and the thickness of each fracture zone on the surrounding rock of the existing constructed tunnel are determined after excavation; and 4, radial grouting reinforcement is performed, specifically, theradial grouting reinforcement of the surrounding rock of the existing constructed tunnel is carried out for multiple times along the longitudinal extension direction from back to front, every time theradial grouting reinforcement of the surrounding rock is carried out, grouting pipes are used for conducting the grouting reinforcement of the M fractured zones separately. The construction method ofthe deeply buried tunnel chamber excavation based on the analysis of partition fracture evolution of the surrounding rock is simple in steps, reasonable in design, convenient to realize and good in using effect, can perform the radial grouting reinforcement of the surrounding rock purposefully according to the analysis results of the partition fracture evolution of the surrounding rock, and can effectively ensure the stability of the surrounding rock of the tunnel chamber and the safety of tunnel chamber excavation construction.

The embodiment of the invention discloses a data migration method and device, equipment and a medium, and relates to data processing technology. The method comprises the steps of determining a candidate storage medium from candidate medium categories corresponding to a medium category to which a current storage medium of to-be-migrated data belongs according to the medium category to which the current storage medium belongs; respectively calculating migration income and migration loss of migration from the current storage medium to the candidate storage medium wherein the migration income andthe migration loss are used for quantifying changes of data reading performance before and after migration; determining a target storage medium from the candidate storage media according to the migration income and the migration loss; and migrating the to-be-migrated data to the target storage medium. The embodiment of the invention provides the data migration method and device, equipment and themedium. Automatic and accurate migration of data is achieved.

The invention relates to a high speed cylindrical roller bearing with a self-generating monitoring device and belongs to the technical field of bearings and monitoring of bearings. Two retainers and excitation magnets embedded in the two retainers are riveted through rivets; excitation magnets are embedded in two ends of cylinders which are arranged in die cavities of the retainers; a chuck body is arranged on a step shaft at two ends of an inner ring or in a step hole at two ends of an outer ring; a sensor is arranged on the side wall of an annular groove of the chuck body; a circuit board and a cover plate are separately arranged at two sides of the chuck body; an energy captor is arranged between the chuck body and the cover plate; and an excited magnet is riveted in the center of the energy captor and is arranged in a guide hole of the chuck body in a sleeving manner. The high speed cylindrical roller bearing with the self-generating monitoring device has the advantage and characteristic that the bearing has a self-energy-supply sensing and monitoring function; the device structure needs no change and real-time online monitoring can be realized; the structure of the energy captor and the excitation scheme are reasonable, the guide hole is used for preventing the energy captor from torsional pendulum, the excitation magnet rotating along with a conical body is used for exciting, so that the high speed cylindrical roller bearing is high in reliability, large in generation amount and wide in valid rate bandwidth and is suitable for high rotation speed occasions.

The invention discloses a pressure-relief and hole-protection drill pipe for soft coal and rock drilling. The pressure-relief and hole-protection drill pipe comprises hole-protection spiral blades, discharge aiding spiral blades and a hollow drill pipe body, wherein the height of the discharge aiding spiral blades is smaller than the height of the hole-protection spiral blades; and the cross section of the hole-protection spiral blades is designed into a structure with the wider outer side and the narrow inner side. The hole-protection effect is achieved on the soft and weak coal and rock layer drill hole wall by a wide blade structure arranged at the outer side of the hole-protection spiral blades; the slag discharge passage blockage due to drill hole deformation is effectively avoided, and drilling chips are discharged under the protection of the hole-protection spiral blades; and the slag discharge capability of the drill pipe can be improved by the discharge aiding spiral blades, and the drill chip accumulation blockage is prevented from being formed under the hole-protection spiral blades. The pressure-relief and hole-protection drill pipe has the advantages that the design is novel; the hole-protection spiral blades have the hole-protection and slag-discharge duplex effects; meanwhile, a separated hole-protection space is formed between the hole-protection spiral blades; the pressure-relief effect is achieved; the contact area between the hole-protection pipe wall and the drill hole wall is reduced; the rotating resistance of the drill pipe is reduced; the drill clamping occurrence probability can be reduced; and the drilling depth and the drilling efficiency are improved.

The invention is applicable to the technical field of big data. Provided are a method and a terminal device for generating a distribution route based on large data. The method comprises: according tothe mass data of route distance from each logistics unit to each logistics network point, assigning the logistics unit to each of the logistics outlets, generating a set of logistics units corresponding to each logistics node, generating a distribution matrix based on the priority of each logistics unit and the set of logistics units, and generating more than one distribution list according to theroute distance and the route coincidence ratio of the two logistics units included in the distribution matrix; generating a second distribution list according to the correspondence between the presetlogistics outlets and the distribution mode between the networks, and finally, combining the distribution routes among the logistics units with the first distribution list and the second distributionlist to more reasonably analyze the massive logistics units and the logistics outlets, and determining the distribution routes, thereby reducing the distribution time.