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 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 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 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 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 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.