38results about How to "Calculation logic is simple" patented technology

The invention provides a method for collaborative filtering recommendation based on item level types. The method for collaborative filtering recommendation based on the item level types comprises the four steps of preference description, item type grading, similarity calculation and predictive grading. In the step of preference description, modeling of preference of a user is completed and a user-item grading matrix is generated. In the step of item type grading, grades, offered by a user, of bought items are defined, the similarity between the item types is defined according to the association rules, and grades, offered by the user, of item types which are not bought are deduced. In the step of similarity calculation, the similarity between every two items of a system is obtained according to the similarity calculation formula. In the step of predictive grading, grades, offered by the user, of the items which are not graded are predicated. According to the method for collaborative filtering recommendation based on the item level types, the number of item level type factors is increased, the new similarity formula is established, the influence of sparseness of the user-item grading matrix on the accuracy of the item similarity is reduced, the probability of the phenomenon that the similarity between every two items is zero is reduced, and the accuracy of recommendation is remarkably improved. The method for collaborative filtering recommendation based on the item level types can be applied to the fields such as the field of data miming and the field of recommendation systems.

The invention discloses a self-adaptive pre-read method which is based on the caching of a file system. The method comprises the following steps that: firstly, a pre-read sector service record is established; secondly, each time the pre-read operation is executed, the pre-read sector number is recorded in the pre-read sector service record; thirdly, when the pre-read sector is used, the used pre-read sector number is recorded in the pre-read sector service record; fourthly, according to the prior pre-read sector number and the used pre-read sector number, the utilization rate of the prrior pre-read sector is calculated, and the pre-read sector number in the current pre-read operation is determined according to the utilization rate.

The invention relates to an in-memory calculation bit unit and an in-memory calculation device, the in-memory calculation bit unit comprises a four-tube storage unit and a four-tube calculation unit,the four-tube calculation unit comprises a transistor T5, a transistor T6, a transistor T7 and a transistor T8; the drain electrode of the transistor T7 is connected with a pre-storage line A, the grid electrode of the transistor T7 is connected with a calculation word line, the source electrode of the transistor T7 is connected with the drain electrode of the transistor T5, the grid electrode ofthe transistor T5 is connected with the four-tube storage unit, the source electrode of the transistor T5 is connected with the source electrode of the transistor T6, and the grid electrode of the transistor T6 is connected with the four-tube storage unit; the drain electrode of the transistor T6 is connected with the drain electrode of the transistor T8, the grid electrode of the transistor T8 isconnected with the inverse calculation word line, and the source electrode of the transistor T8 is connected with the pre-storage line B; and the source electrode of the transistor T5 and the sourceelectrode of the transistor T6 are connected with a read bit line RBL. When the weight value is designed to be 0, the retention state is directly adopted, and the calculation process is accelerated.

The invention discloses a method for checking the correlation degree of carbon emission data of a gas unit based on product difference analysis. The method comprises steps that firstly, real-time monitoring data of the carbon emission concentration of the gas unit is converted into instantaneous carbon emission data; secondly, a correlation coefficient between the intake air volume of the gas unitand the carbon dioxide emission volume is calculated through the product difference analysis method; and lastly, according to the correlation coefficient, rationality of correlation between the carbon emission monitoring data is determined, and abnormality of the carbon emission data is investigated. The method is advantaged in that calculation logic is simple, the method can be applied to onlinefield monitoring, abnormal monitoring data is timely discovered, field operating personnel is prompted to investigate a data fault, reliability of the carbon emission monitoring data of the gas unitis guaranteed from the source, moreover, the length of the correlation coefficient time period can be reasonably selected according to the update frequency of the field monitoring data, sample capacity requirements of product difference analysis are not only satisfied, but also the method can be applied to different business scenes such as abnormal data online detection early warning, data validity judgment and parameter correlation analysis.

The invention discloses a UPS zero line open circuit detection method and device and a UPS. The method comprises the steps that the phase voltage value inputted by a three-phase power supply and the voltage difference value between the positive DC bus and the negative DC bus are detected; whether the voltage difference value is within the preset theoretical calculation value range of zero line open circuit is judged; and if the judgment result is yes, the situation of zero line open circuit is determined, wherein the theoretical calculation value range is determined according to the type of the rectification module in the UPS and the phase voltage value. Therefore, the method can be realized based on the controller of the UPS. Compared with the mode of additional arrangement of the hardware in the prior art, additional arrangement of the hardware is not required by the method, the cost is low, and the method is simple in calculation logic and low in resource consumption of the controller. Besides, the UPS zero line open circuit detection device and the UPS also have the beneficial effects.

The invention discloses a transformer safety state assessment based on oil chromatography, comprising steps of determining an oxygen-containing type of a transformer according to the nitrogen-oxygen rate inside the transformer, obtaining preset fault energy intensity threshold L1,L2and L3 according to the oxygen-containing type of the transformer, obtaining the dissolving content X1, X2, X3 and X4 of the methane, the ethane, the ethene and the acetylene in the transformer, calculating fault energy intensity P according to the X1, X2, X3 and X4, calculating transformer fault energy intensity index PI according to the L1, L2, L3 and P, and determining the safety state of the transformer according to the PI. The transformer safety state assessment method based on oil chromatography disclosed by the invention has less set thresholds by comparing with the DGA method which is commonly adopted, has simple calculation logic and has higher reaction sensitivity to the safety condition caused by server faults like the high energy overheating and arc discharge.

The embodiment of the invention provides a data processing method, device and system based on a neural network and a storage medium. The method includes: acquiring to-be-processed data; and using theneural network to process the data to obtain a final processing result, wherein in a process of using the neural network to process the data, elements which are in a result matrix obtained by at leastone matrix multiplication operation and have absolute values which are of difference values from a set value and less than or equal to a threshold are set to the set value. The above technical solution can significantly simplify computing logic of the neural network under the premise of ensuring data processing accuracy, and correspondingly reduce logic gates in a multiplier of the neural network. Therefore, requirements on platform computing power and storage space aspects can be reduced, and then requirements on performance aspects of system power consumption, heat dissipation and the likecan be reduced.

The invention provides an arithmetic processor and an arithmetic processing system for Poit floating-point numbers, and relates to the technical field of computers. The operations of addition, subtraction, multiplication and FMA are directly carried out on intermediate data in a complement form acquired by a self-decoding circuit; and an operation result represented by the intermediate data is obtained in the complement form. The operation result represented by the intermediate data is directly inputted in the complement form into a coding circuit, so that the coding circuit directly convertsthe intermediate data in the complement form into Poit floating-point numbers. The mutual conversion of original codes and complement codes is prevented from being repeatedly carried out in the operational circuit, logic of the operational circuit is simplified, and therefore the area and power consumption of the operational circuit are reduced.

The invention discloses a data pre-fetching method and a data pre-fetching device of a graphics processor oriented to a data structure, The method comprises the following steps: obtaining the information of the storage access request and the read data of the monitoring processor check map data structure; utilizing the width-first search defined data structure access mode and the graph data structure information to generate corresponding four vector prefetch requests and store them in the prefetch request queue. The device comprises a data prefetching unit distributed in each processing unit, wherein the data prefetching unit is respectively connected with a memory access monitor, a memory access result buffer and a primary buffer of the memory access instruction unit; and the data prefetching unit comprises an address space classifier, a runtime information table, a prefetch request generation unit and a prefetch request queue. The invention more accurately and efficiently prefetches the data needed for carrying out graph traversal by using width-first search, thereby improving the performance of GPU in handling graph calculation problems.

The invention relates to a power distribution network collaborative management model construction method and system, and the method is characterized in that the method comprises the following steps: 1) calculating the actual single construction progress value quantity of each month of each power distribution network capital construction project of each level in a power grid project; 2) obtaining actual single-item investment progress value quantity, actual single-item material type account entry progress value quantity, actual single-item service type account entry progress value quantity andactual single-item account entry progress value quantity of each level of each power distribution network capital construction project in the power grid project; 3) according to the actual single construction progress value quantity of each month of each level of each power distribution network capital construction project in the power grid project, the actual single investment progress value is measured; the power distribution network collaborative management method has the advantages that the power distribution network collaborative management model of the power grid engineering is constructed by the actual single material type account-entering progress value quantity, the actual single service type account-entering progress value quantity, the actual single account-entering progress value quantity, the annual investment plan data and the annual investment budget data of the power grid engineering, and the power distribution network collaborative management method can be widely applied to the field of power distribution networks.

The invention provides a base station, a base station positioning method and corresponding equipment. The base station positioning method comprises the following steps: appointing a current base station as an initial reference base station of a current cell; receiving position calibration information of other base stations relative to the initial reference base station, which is fed back based ona first distance measurement strategy; screening out a corresponding retest base station with an error value greater than a preset threshold value in the position calibration information; and receiving position calibration information of the re-measurement base station relative to the calibrated base station fed back based on a second distance measurement strategy, and correcting the position calibration information of the re-measurement base station. Through the cooperation of the first distance measurement strategy and the second distance measurement strategy, the problems of limited base station positioning accuracy and complex positioning calculation method are solved, the base stations of which the position calibration information error values are greater than the preset threshold value can be remeasured, and the two positioning modes are fused, so that the self-calibration accuracy between the base stations can be effectively improved.

The invention provides a division and extraction operation processor and an operation processing system for Posit floating-point numbers, and relates to the technical field of computers. An operationprocessing system for performing addition and subtraction alternate operation by utilizing intermediate data of a complement type to finish division and extraction operation of Point floating-point numbers is creatively created. The division and extraction operation processing system for the Posit floating-point number comprises a CPU, a decoding circuit, a coding circuit, a division and extraction operation processor for the Posit floating-point number. The CPU is a central processing unit of the computer; connection with the decoding circuit, and the Point floating-point number division andextraction operation processor is connected with the encoding circuit and is used for performing the target operation by the intermediate data in the complement form to obtain an operation result expressed by the intermediate data in the complement form and sending the operation result expressed by the intermediate data in the complement form to the encoding circuit.

The invention relates to the technical field of machine vision, in particular to a moving direction detection method and device, projection equipment and a readable storage medium. According to the moving direction detection method provided by the embodiment of the invention, the first feature region can be directly determined from the acquired first projection scene image; a second feature regionis determined from the acquired second projection scene image, the first feature region and the second feature region comprise the image information of the pedestrian in the projection scene, and theimage acquisition time corresponding to the second projection scene image is located after the image acquisition time corresponding to the first projection scene image; therefore, the moving direction of the pedestrian in the projection scene can be obtained according to the comparison result of the first coordinate information and the second coordinate information, and the process has the characteristic of simple calculation logic, so that the execution efficiency of the moving direction detection method can also be ensured.

The invention relates to a method for actuating a clutch (1) of a hybrid drive train (2) by means of an actuating device (3), wherein the actuating device (3) has an electrical actuator unit, which acts, by means of a sliding element, in an adjusting manner on an actuation bearing, which in turn is or can be kinematically coupled to a control element of the clutch (1), wherein a pre-load point (6), at which the actuation bearing is pressed against the control element with a minimum sliding force, is determined in that the sliding element is first moved over a sliding path, in which the pre-load point (6) is theoretically located, an actual characteristic curve (7) that describes the behavior of a physical motion characteristic value of the sliding element thus being created, then the actual characteristic curve (7) is compared with a target characteristic curve (8) stored for said sliding path, and the pre-load point (6) is defined (900) at the point along the actual characteristic curve that has no or the smallest deviation from a comparison point of the target characteristic curve (8), wherein at the pre-load point, the actuation bearing is pressed against an adjusting element with a minimum sliding force, the actual characteristic curve describes the characteristic of the physical motion characteristic value of the sliding element, and the preload point (6) is theoreticallyin the sliding path. The invention further relates to a hybrid drive train (2) for a motor vehicle.

The invention discloses a clock correction method, a clock data recovery circuit, a chip, a receiving end and a terminal. The method comprises the following steps: acquiring at least two clock signals with the same frequency output by a phase interpolator; wherein the phase interpolator is configured to maintain a first phase relationship between the at least two clock signals; acquiring a phase control code of the phase interpolator when a second phase relationship is formed between the at least two clock signals and a data signal; calculating a phase control code deviation value based on a first phase control code difference value between the phase control codes of the at least two clock signals and a second phase control code difference value corresponding to the first phase relationship; and generating a target phase control code according to the phase control code deviation value, wherein the target phase control code is used for configuring the phase interpolator to correct the first phase relation. According to the scheme of the embodiment of the invention, high accuracy of data recovery of the CDR circuit is realized, the occupied circuit area is small, and the precision is high.

The invention discloses an effective liver function detection method and device and a storage medium. The detection method comprises the steps of obtaining first spectroscopic detection data of a probe, wherein the first spectroscopic detection data comprise the transmittance of detection light of a first type of wavelength and detection light of a second type of wavelength, passing through a detected part, after an ICG clearance test starts; inputting the first spectroscopic detection data into a preset detection model, and performing calculation to obtain ICG real-time concentration in humanblood; and carrying out linear regression analysis on the ICG real-time concentration under semi-logarithmic coordinates to obtain the ICG clearance rate in the human body. As long as the first spectroscopic detection data of the probe are input into the preset detection model, the ICG real-time concentration in the human blood can be calculated, so that the detection process of the ICG clearancetest is greatly simplified; and the detection method has the advantages that a patient is non-invasive and the real-time concentration detection performance is high.

The embodiments of the invention disclose a single-difference parameter determination method and device for single-point positioning, equipment and a medium. The single-difference parameter determination method comprises the steps that observation data of a target object are acquired, and a plurality of original matrix parameters for positioning the target object are calculated according to the observation data; and a plurality of positioning matrix parameters for eliminating the influence of decimal cycle deviation are calculated according to the original matrix parameters and preset calculation rules, wherein the preset calculation rules are addition and subtraction operations. According to the single-difference parameter determination method provided by the embodiments, the positioningmatrix parameters for eliminating the influence of the decimal cycle deviation can be calculated through the addition and subtraction operations, the calculation logic of the single-difference parameters is simplified, the calculation speed is accelerated, and the calculation efficiency is improved.

The embodiment of the invention discloses a data determination method and device, an electronic device and a storage medium. The method comprises the steps of determining the category information; determining a user identifier of an object; obtaining an index data set based on the category information and the user identifier; determining the reference data based on the index data set and / or the category information; determining a coefficient based on the index data set and / or the category information; determining the limit data based on the category information; and determining the capability evaluation data of the object under the category information based on the reference data, the coefficient and the limit data. According to the embodiment of the invention, the method can adapt to various business fields and scenes, and can quickly and conveniently determine different types of capability evaluation data.

The invention discloses an intelligent scheduling algorithm based on a tunnel kiln back-stepping previous procedure, which is oriented to a calcining link in a large-batch ceramic production process,and includes: calculating the number of kiln cars which are expected to be taken out of a kiln within t hours according to the kiln speed and obtaining the number of the kiln cars which are taken outof the kiln currently; and calculating the kiln position types and the number of all kiln cars taken out of the kiln after t hours, and calculating the types and the number of white blanks to be produced in the future according to the calculated kiln position types and the calculated number. Corresponding data can be obtained in time, on-site production adjustment is simplified, real-time updatingof a production scheduling plan is achieved, and therefore the production efficiency is greatly improved, and the production cost is reduced. The invention also provides a program development schemein a Visual Studio C # environment, so that an algorithm can be efficiently realized to obtain a production scheme when facing different actual problems.