40results about How to "Make sure the result is accurate" patented technology

The invention discloses determining method and device of neighbor cells. The method comprises the following steps of: dividing a main cell into grids; calculating the number proportion of main cell MRs (measurement reports) corresponding to the grids in an MR and determining the grids, the number proportions of which are larger than a proportion threshold value, to be main cell grids; calculating a difference value between an RSCP (received signal code power) average value of the main cell in the main cell grids and an RSCP average value of other cells beyond the main cell; and determining other cells the difference values of which are smaller than a difference value threshold value to be neighbor cells of the main cell. The method and the device can more accurately determine the neighbor cells of a cell.

The embodiment of the invention discloses a processing method and processing equipment. The method comprises the following steps of: receiving N uplink reference signal received power (UL RSRP) values from a user terminal in a multi-sector cell, wherein the N UL RSRP values correspond to N sectors forming the multi-sector cell respectively, coverage areas of the N different sectors are crossed with one another to form M crossed coverage areas, N is an integer greater than 1, and M is the integer greater than 0 and less than or equal to N; acquiring a maximum value PRX and a UL RSRP reference value from the N UL RSRP, wherein the RPX is the UL RSRP value of the sector X in the N sectors; and determining a user group with a user corresponding to the user terminal according to relationships between the maximum value PRXs and the RSRP reference values. The embodiment of the invention can reduce the complexity of an algorithm required by the space division multiplexing (SDM) realization of the user in the multi-sector cell, and ensure the communication quality.

The invention belongs to the technical field of multimedia, and discloses a method and device for determining video buffering. The method comprises the following steps: separating video data from audio/video data; packaging prestored image information of a reference image into the video data, so that packaged video data is obtained; during display of the packaged video data in a designated area, acquiring image data and recording a first acquisition time for the image data; and according to the image data and the first acquisition time for the image data, determining whether a video being played is buffered or not. The method and device provided by the invention has the advantages that the image information of the reference image is packaged in the video data, the image data is acquired and the acquisition time for the image data is recorded during the display of the video data, and whether the video data is buffered or not is determined based on the image data and the acquisition time; and an audio/video cache queue need not be detected during the process, and the determination is carried out through the currently played video data, so that a more accurate and real-time determination result can be achieved.

The invention provides a user account determination method and apparatus, an information pushing method and apparatus, and an electronic device, and relates to the field of big data and artificial intelligence. The user account determination method comprises the steps: acquiring a network topological graph, wherein each node in the network topological graph corresponds to each account, and a preset association relationship exists between the accounts corresponding to edge representation between the two nodes; a community division step of dividing the nodes into a plurality of virtual communities based on the modularity of the network topological graph; a node reconstruction step: aggregating each virtual community obtained by division into a node to obtain an updated network topological graph; a first iteration step of iterating the virtual community division step and the node reconstruction step based on the updated network topological graph until the network topological graphs beforeand after updating are consistent; and an account identification step: determining the accounts corresponding to the nodes in the same virtual community as the accounts of the same user. According tothe invention, the accounts belonging to the same user can be efficiently and accurately determined.

The invention discloses a detection method and a detection device of gene deletion mutation. The method comprises the following steps: sequencing exon libraries of a sample to be detected and a comparison sample to acquire sequencing data of the sample to be detected and the comparison sample; respectively calculating sequencing numbers of the sample to be detected and the comparison sample on all windows in a form of dividing the sequencing data into several windows to acquire first sequencing numbers of the sample to be detected and the comparison sample on all the windows; performing homogenization on the first sequencing numbers of the sample to be detected and the comparison sample on all the windows to acquire second sequencing numbers of the sample to be detected and the comparison sample on all windows; dividing the second sequencing number of the sample to be detected on the windows by a median which is acquired from the second sequencing number of the comparison sample on all the windows to acquire a specific value; performing gene deletion mutation in the windows if the specific value is smaller than a set value. According to the method, the median in the comparison sample is used as a comparison standard, and compared with an average value or a standard difference, false positive can be relatively easily differentiated, and the result is relatively accurate.

The invention discloses rotating speed control method and device, a storage medium and an air conditioner. The method comprises the following steps of determining a current liquid level height of a water tank in a water splashing motor; determining a theoretical target rotating speed of the water splashing motor according to the current liquid level height; and determining a current target rotating speed of the water splashing motor based on the theoretical target rotating speed and in combination with a current environment temperature or a current evaporator temperature of an air conditionerprovided with the water splashing, and controlling the operation of the water splashing motor according to the current target rotating speed. According to the scheme, the problem that the control precision of the water splashing motor is low can be solved, and the effect of improving the control precision of the water splashing motor is achieved.

The invention discloses a battery life detection method, a battery, electronic equipment and a storage medium. The battery life detection method is applied to the battery. The method comprises the following steps: obtaining the corresponding use time and use temperature when the electronic equipment is used recently, wherein the use temperature comprises at least one of the following: battery temperature and ambient temperature; determining a corresponding battery life consumption value when the electronic equipment is used recently according to the use time and the use temperature; and determining the remaining life of the battery according to the battery life consumption value. Due to different influences of different use temperatures on the service life of the battery, in the scheme, when the remaining life of the battery is determined, the use time and the use temperature of the electronic equipment when the electronic equipment is used before are considered, and it can be guaranteed that the determination result of the remaining life of the battery is more accurate.

A method, a destination network node apparatus and a mobile transmission network system for processing packet loss are provided in the embodiment of the present invention. The method includes the following steps: a destination network node receives data from a source network node through at least two links of transmission quality test protocol, wherein the service priority of the at least two links of transmission quality test protocol is different; when packet loss on the at least two links of transmission quality test protocol is detected, the reason of the pack loss is determined according to the packet loss ratio and the service priority of the at least two links of transmission quality test protocol. With the embodiment of the present invention, packet loss caused by error code or by congestion can be distinguished more efficiently.

The embodiment of the invention provides a computer system and a registration number determination method based on the computer system. The computer system comprises an information input interface, a memory and a processor, and is characterized in that the information input interface is configured to determine a search index and the platform attention amount of a target application; the memory is configured to store a relation between the search index of the application and registration CPA and a relation between the platform attention amount of the application and the number of platform entrance registration; the processor is configured to determine a first number of registered users introduced by the current advertisement delivery fee according to the relation between the search index of the application and the registration CPA, and to determine the number of platform entrance registration introduced by the platform according the relation between the platform attention amount of the application and the number of platform entrance registration, and multiplies the sum of the first number of registered users and the number of platform entrance registration by a diffusion coefficient so as to acquire a determined result of the number of application registration users of the target application. The determined number of application registered users is high in accuracy.

The embodiment of the invention provides a nonlinear calibration precision analysis method based on iterative optimal power. The nonlinear calibration precision analysis method comprises the followingsteps of: acquiring a data set of a set number of groups of reagent light values and corresponding reagent concentrations; according to the data set, constructing a nonlinear function from the reagent light value to the reagent concentration through a nonlinear calibration mode based on iterative optimal power; and performing precision analysis on the nonlinear function. By adopting the method, the problems of poor calibration accuracy and imperfect calibration precision evaluation method in the prior art can be solved, so that the reagent concentration can be more accurately determined through the reagent light value when a chemiluminescence immunoassay reagent is applied.

The invention aims to provide a method and equipment for determining an owner of a wireless hotspot set. Compared with the prior art, according to the method and the equipment provided by the invention, a target hotspot set to be processed is obtained, wherein the target hotspot set comprises one or more wireless hotspots having same or similar SSIDs; furthermore, a reference hotspot set corresponding to the target hotspot set is determined, wherein the reference hotspot set comprises one or more wireless hotspots having same or similar SSIDs; at least one wireless hotspot in the reference hotspot set is matched with the wireless hotspot in the target hotspot set; furthermore, the owner of the target hotspot set is determined according to the reference hotspot set; the method for determining the owner of the target hotspot set through the reference hotspot set is relatively convenient and rapid; and thus, the resource cost can be well reduced.

Embodiments of the invention disclose a method and an apparatus for determining a portrait contour in an image. The method comprises the steps of horizontally moving a preset detection window from one side to the other side of the image, and recording color values of regions passed by a color detection region on the image; and in the process of moving the detection window, if a difference value between the color value of the first region and a first mean value exceeds a first preset range, stopping moving the detection window, judging whether a difference value between the first mean value and a second mean value exceeds a second preset range or not, if the second preset range is exceeded, judging that a difference value between the color value of each unit length in the second region and the first mean value exceeds the number of second preset ranges, and if a preset ratio is not exceeded, determining the first region as a part of the portrait contour in the image. In the way of collecting the color values by horizontal movement from one side to the other side of the image, the change of the color values, in the same row, of the image can be analyzed more accurately and effectively.

The invention discloses an equipment failure rate evaluation method and system based on field data volume, and belongs to the technical field of power equipment state evaluation. The method comprises the following steps: determining a fault mode corresponding to a state quantity of target equipment, and determining a probability distribution density function fCA (x) of a state quantity on-site measured value of the whole equipment; determining a probability distribution density function fCB (x) of a state quantity field measured value of the fault equipment; determining the form of a probability distribution density function fD (y, mu, sigma 2) of a fault threshold corresponding to the state quantity according to the probability distribution density function fCA (x) of the whole equipment state quantity value and the probability distribution density function fCB (x) of the fault equipment state quantity value, and solving an expected value mu and a variance sigma 2 of the function; and calculating the fault rate of a certain equipment individual by utilizing the current value of the state quantity of the equipment individual and the probability density distribution function of the fault threshold.

The invention discloses a time sequence data processing method and device, and the method comprises the steps: obtaining time sequence data, and enabling each piece of data in a time sequence to be avalue of a time point; calculating fluctuation energy E (n) = V (n)-V (n-1) at each time point in sequence, wherein E (n) is the fluctuation energy of the current time point, V (n) is the value of thecurrent time point, and V (n-1) is the value of the previous time point; circularly traversing each time point in the time sequence, and determining the state of the time point according to the fluctuation energy of each time point, with the state comprising a temporary state and a stable state; taking the stable state of the time point as the state mode of the time point; wherein the state modecomprises a stationary mode, a rising mode and a falling mode. BSegmentation of the time sequence data and identification of the state mode can be simply and accurately realized.