41 results about "Weighted arithmetic mean" patented technology

Techniques for performing an action, based on the present location of a client, to protect resources of the client from theft or unauthorized access. A server may intermittently receive, from a client, location information such as GPS information, triangulation information based on one or more Wi-Fi access points, and IP trace information. The server may determine the client's location by (a) determining, for an interval of time, whether GPS information, triangulation information, and IP trace information are available for the client, and (b) based on the available GPS information, triangulation information, and IP trace information, determining the present location of the client, e.g., by determining a weighted arithmetic mean or by using a sequence of types of location information ordered based on accuracy. In response to following a security policy, the server may perform an action, specified by the security policy, based on the present location of the client.

The invention belongs to the technical field of cigarette production, and particularly relates to a cigarette manufacturing quality stability evaluation method. The method mainly comprises steps of firstly, carrying out hierarchical classification on cigarette quality stability according to manufacturing processes of cigarettes; then, carrying out quantization representing on single-factor variables on a machine bench and carrying out weight assignment; evaluating manufacturing quality stability of a single machine bench, wherein the evaluation result of the machine bench is equal to the weighted average of a single-factor evaluation result; and finally, carrying out stability evaluation on batch manufacturing quality and judging the evaluation result. According to the invention, stability of a single variable in the manufacturing process can be evaluated; quality stability of the machine bench and stability of batch comprehensive quality can be evaluated; cigarette manufacturing level can be improved; and powerful support is provided for improving of product quality stability.

The invention is suitable for the technical field of health control and provides a psychological pressure assessment method and apparatus. The method comprises the steps of collecting sample data, and constructing a feature data matrix, wherein the sample data specifically comprises physiological feature data, psychological feature data such as stress scale and the like, basic information of an individual and the like; performing preliminary assessment on the physiological feature data and the psychological feature data by a fuzzy C-mean algorithm and an ordered weighted arithmetic mean operator to obtain respective classification identification results; performing secondary classification whether the results are benign or not for the classification identification results in which psychological pressure exists according to a decision layer fusion model, and outputting secondary classification results in which the psychological pressure exists; and taking the secondary classification results as statistical model inputs, and obtaining a quantized value of the psychological pressure of the individual according to a pressure system theory model-based Cylinder pressure quantization function. According to the method and the apparatus, graded quantitative assessment of the psychological pressure is realized.

The invention discloses a sunlight greenhouse wireless sensor multi-data fusion method. Greenhouse data are acquired in real time through a wireless sensor; a Grubbs judging criterion is used for data pretreatment; an adaptive weighted average fusion algorithm is then used, a weighted factor is derived for fusion calculation on the data, real-time north sunlight greenhouse data fusion is realized, and the real-time data precision is improved. An experimental result shows that the Grubbs judging criterion can effectively eliminate gross errors, and the data precision is improved by 8%; and the adaptive weighted average data fusion can obviously improve the data precision, the data precision is improved by 6% after fusion, the fusion result can describe the real-time greenhouse environment accurately, and more accurate basic data can be provided for control on the greenhouse environment.

The invention provides a method and device for bug repairing and a storage medium. The method includes the following steps that safety bug information sent by an application is obtained, wherein the safety bug information includes a bug assembly having bugs in the application and the bug risk level; at least two copies of historical data associated with the safety bug information are searched out from a historical database; according to the at least two copies of historical data, a weighted assessment is conducted on the bug risk level of the bug assembly, and the weighted average is obtained and used for representing the level of risk assessment of the bug assembly; according to the weighted average, safety work order information is generated and transmitted to the application, so that the application conducts bug repairing on the bug assembly according to the safety work order information. By means of the scheme, the risk level of the bugs needing to be reported currently can be truly and accurately reflected, and misestimation is avoided.

The invention belongs to the field of water heaters, and particularly relates to a method for predicting water using behavior of users through a water heater and the water heater. According to the method, a data processing unit is used for analyzing water using data of the user before the current time to establish a water using model, the next water using period after the current time is predictedaccording to the water using model, statistics on the water using data in the next water using period for N days before the current time is conducted, and specific water using time points of the userin the next water using period are predicted; the water using period is determined firstly, the statistics on the water using data of the previous N days is conducted, finally the next specific waterusing time points are predicted, and therefore the predication accuracy of the method is higher; and the next specific water using time points are calculated by adopting a weighted average method, the weight ratio is adjusted, so that the predicted specific water time points are closer to the reality. According to the method, the water using data are continuously updated, the water using model iscontinuously corrected, the calculation of the water using period is more accurate and intelligent, and therefore the true automatic control is realized.

The invention discloses a method and a system for evaluating nutrition aiming at daily catering of a user. The method comprises the following steps of: A, providing a database; B, acquiring characteristic information of the user; C, acquiring daily catering data of the user; D, acquiring the user-targeted evaluation score of the daily catering data, wherein D1, the evaluation score comprises nutrition balance score Ns which is obtained by D11, calculating the nutrition score Nsi of the ith (i is 1, 2...N) nutrition component, and D12, acquiring a weighted average according to the nutrition scores and the weighting coefficients of N nutrition components and acquiring the nutrition balance score of the daily catering; and E, evaluating the nutrition according to the evaluation score. The method for comprehensively evaluating the nutrition aiming at the daily catering of different users provides evaluation criterion for artificial / automatic nutrition catering.

The invention discloses an air-conditioning system operation method based on weather change. The method comprises the steps as follows: querying the weather forecast of an area where an air-conditioning system is positioned for the next N hours, and calculating the hourly air temperature value of the area for the nest N hours; querying the weather forecast within X km-radius range of the area where the air-conditioning system is positioned for the next N hours, and acquiring the maximal temperature values and the minimal temperature values of the northern area, the southern area, the eastern area and the western area for the next N hours; querying wind speed and wind direction of the area where the air-conditioning system is positioned; acquiring the hourly air temperature value of an area which influences the area where the air-conditioning system is positioned for the next N hours; and carrying out weighted average calculation to the hourly air temperature values of the area where the air-conditioning system is positioned and the influencing area for the next N hours, and acquiring the hourly air temperature value of the air-conditioning system for the next N hours according to the weighted average calculation value. The operation of the air-conditioning system, which is realized through the method, can be adjusted automatically, and the indoor cold and hot comfort is high.

The invention provides a method for measuring the water content of graded broken stone and belongs to the field of graded broken stone materials and construction parameter testing. The method includes: using the mass proportion, accounting for the to-be-measured graded broken stone, of each broken sample as weight to calculate the weighted average of the water content of different drying broken samples, and using the calculation result as the water content of the to-be-measured graded broken stone. The method has the advantages that the defects that due to the fact that the graded broken stone is high in porosity, free of cohesiveness and poor in water retention capacity, water migrates, water content measuring by sampling a central point is not representative, coarse aggregate or fine aggregate is high in proportion during graded broken stone sampling, and the measured water content cannot truly reflect the water content of compaction test samples due to little sampling or sampling unevenness degree, and the compaction test result has a multi-camel-back curve are overcome, the accuracy and reliability of the measuring result are increased, and the method is simple and fast.

The invention discloses a video denoising method. The method includes the steps of obtaining at least one adjacent frame of a frame to be denoised in a video sequence; performing time domain denoising on each pixel point of the frame to be denoised, the time domain denoising including the steps of, for each adjacent frame of the frame to be denoised, obtaining matched pixel points of the pixel points of the frame to be denoised on the adjacent frame, and calculating the weights of the matched pixel points; and based on the weights of the obtained matched pixel points of the pixel points of the frame to be denoised on each adjacent frame, calculating the weighted average of the pixel points of the frame to be denoised and the matched pixel points thereof, so as to obtain pixel values of the pixel points of the frame to be denoised after time domain denoising. The invention also discloses corresponding calculation equipment and a computer storage medium.

The invention discloses an internet invoice prize drawing system and a realization method thereof, and relates to the technical field of computer application software. A user logs in an invoice prize drawing system through a client unit, carries out prize maintenance and prize drawing parameter setting, and stores the prize drawing parameters to a prize drawing server unit; a prize drawing site unit triggers a prize drawing activity according to a prize drawing event preset by the prize drawing server unit and creates a real-time prize-drawing window on the client unit; and the prize drawing server unit manages prize drawing taxpayer tables, calculates the probability of winning the prize through a weighted average algorithm based on accumulated invoice values of taxpayers, selects winning taxpayers, dynamically displays the prize drawing data in the real-time prize-drawing window until finishing drawing of the winning taxpayers and returns information of the winning taxpayers to the prize drawing server unit. The prize drawing process is transparent, so that the taxpayers can witness the drawing activity and the result of prize winning result in person, thereby improving interest of the taxpayers in participating in prize drawing and simplifying prize drawing process.

Thermoplastic polyether polyurethane polymers are disclosed which are mixed with a crosslinking agent to achieve long run times in a melt spinning process to make elastic fibers. The crosslinking agent is preferably a polyether or polyester polyol reacted with a diisocyanate. A melt spinning process is also disclosed using a polyether polyurethane with a crosslinking agent. Long melt spinning run times can be achieved without experiencing excessive pressure buildup in the spinneret and fiber breakage. The thermoplastic polyether polyurethane polymers are made by reacting: (1) a blend of two or more hydroxyl terminated intermediates wherein one intermediate is a polyether intermediate and has a higher number average molecular weight than the other said polyether intermediates, and wherein the weighted average number average molecular weight of said blend is greater than 1200 Daltons; (2) at least one polyisocyanate; and (3) at least one hydroxyl terminated chain extender. Melt spun fibers dislcosed have excellent dye pickup, bleach resistance, and color fastness. The melt spun fibers can be dyed with polyester fibers and retain excellent physical properties.

The invention relates to the communication technology field and discloses a beauty parameter characteristic value acquisition method, a terminal and a computer readable storage medium. According to the method, whether at least one type of beauty parameter characteristic values with the quantity N exists is determined, and the N is a natural number greater than 1; if yes, weights of the N beauty parameter characteristic values are enhanced respectively according to the acquisition time sequence, and the weights are gradually enhanced according to the acquisition time sequence; according to theweights and the N beauty parameter characteristic values, the weighted average of the N beauty parameter characteristic values is acquired; the weighted average of the N beauty parameter characteristic values is set as a beauty parameter characteristic value for shooting. The method is advantaged in that the beauty parameter characteristic values can be automatically configured by shooting terminals such as mobile terminals and smart cameras according to beauty habits of users, and user beauty operation is made to be more convenient and customized.

The invention discloses a method for identifying salt tolerance of different wheat varieties in a germination period and belongs to the field of application of agricultural technologies. According tothe method for identifying salt tolerance of different wheat varieties in the germination period, the germination rate, germination potential, root length, first leaf length, coleoptile length, bud dry weight, seedling fresh weight, root dry weight and dry substance transport rate of wheat seeds with four different concentrations are measured, the relative value and the weighted average are calculated, the weighted average of all indexes is imported into a comprehensive index calculation formula, and a comprehensive salt tolerant index is calculated. The method for identifying the salt tolerance of different wheat varieties in the germination period is high in systematicness, simple and convenient to operate, wide in applicability and high in comprehensiveness, and is more accurate in evaluation of the tolerance of the wheat in the germination period and has more reliable results than a salt-tolerant membership function value method.

The invention discloses a food group detection device. A motor I is fixedly connected to the interior of the right end of a device body; the lower end of the motor I is rotationally connected with a drive shaft; a first bevel gear is fixedly connected to the upper end of the drive shaft and in meshed connection with a second bevel gear; a plurality of cutting blades are fixedly connected to the surface of a driven shaft; the lower end of the drive shaft is fixedly connected with a gear; a stepped plate is fixedly connected to the middle of the device body; a bearing at the upper end of the stepped plate is rotationally connected with a bottom plate; a ring rack is fixedly connected onto the edge of the bottom plate and in meshed connection with the gear; and a guide slot is formed in the edge of the inner side of the bottom plate. According to the device, foods are divided into multiple sampling bars to be intermittently discharged from a discharge pipe by the cutting blades, and the sampling bars are detected and discharged into a receiving trough, so that the same food is detected in multiple groups so as to obtain the weighted average. Therefore, the detection data is reliable,the detection efficiency is greatly improved, and the degree of automation is high. The device is simple and applicable in structural design and contributes to improving the food safety detection accuracy.

A system and method is disclosed for providing levelness of a production schedule. The system includes a computer configured to access demand data of one or more items to be processed within a sequence of tasks, access the demand data of the one or more items, calculate one or more time intervals for each of the one or more items, and calculate a weighted average for each of the one or more items. The computer is further configured to calculate a time ratio according to the sequence of tasks by calculating the average of the calculated time intervals and the calculated weighted averages and calculating a minimum ratio of an adjusted time interval for each of the one or more items and the calculated weighted averages. The computer is still further configured to generate a production schedule based on a sequence of tasks having a predetermined calculated time ratio.

The invention discloses a GPS based enhanced GLONASS RTK (Real-time Kinematic) positioning method, which is characterized in that a GLONASS+GPS RTK observation equation is built, and positioning is performed based on the observation equation. The GPS based enhanced GLONASS RTK positioning method comprises the steps of setting initial values and initial weights of N numerical points; updating the weight of each numerical point; judging whether the weight is greater than 1 / N or not for each numerical point, if so, copying the numerical point, and if not, deleting the numerical point; judging whether an error in weighting all of the numerical points is less than a preset convergence threshold or not, and if so, enabling the weighted mean of all of the numerical points to act as an estimated IFB (Inter-frequency phase bias) rate; substituting a final IFB rate into the observation equation when a plurality of estimated IFB rates pass verification, performing GLONASS and GPS ambiguity fixing through an LAMBDA algorithm, and carrying out RTK positioning. According to the invention, GLONASS ambiguity fixing based GLONASS+GPS single-frequency RTK positioning is realized.

The embodiments of the invention disclose a method and apparatus to calculate target position using an imaging spectrometer. The method comprises the following steps: calculating the corresponding light spot imaging positions through target images acquired by the imaging spectrometer within the preset various integration times; then calculating the weighted average number of the plurality of light spot imaging position values; and using the weighted average number as the final position value of the light spot imaging. According to the technical schemes of the invention, the weighted average number of the light spot imaging positions of a plurality of target images is used as the final target position, which effectively avoids the calculation errors caused from the fluctuation of the light spot positions, ensures the calculation precision of the target position, increases the positioning accuracy at some extent, raises the system precision of an imaging spectrometer and further increases the measurement accuracy of the imaging spectrometer. In addition, the embodiments of the invention also provide an apparatus to implement the method and so to make the method more practical and correspond to the apparatus.

The invention discloses a trust system establishment method for a visual community, and belongs to the technical field of internet visual communities. The method comprises the first step that an valuator of the visual community evaluates levels of trust for a person evaluated; the second step that a trust transitive relation directed graph in members is built based on the direct trust relationships in the members; the third step that in the trust transitive relation directed graph, two members are selected randomly and are defined as member A and member B, partial or all routes are selected from member A to member B, and for each selected route, trust values for member B from the members near member B are selected; the fourth step that weight is obtained through calculating all the trust values on the routes of neighbouring points from member A to member B, and the trust value from member A to member B is a weighted average of the trust values of all the selected routes. According to the trust system establishment method for the visual community, false evaluation is avoided, deals do not depend on a platform, the adjustment on the evaluation of one member can be sent to other members rapidly.

The invention relates to a power resource allocation method based on emergency influence level identification, and belongs to the technical field of power grid power resource allocation. The method comprises the steps of 1, converging, processing and integrating data resources to obtain available data; 2, defining a model framework, introducing an emergency grade index concept, and adopting a weighted arithmetic mean value as an index aggregation mode to serve as an emergency grade index evaluation framework to improve the transparency interpretation of the model; 3, using a sensitivity coefficient calculation formula for the collected and processed sample data to obtain the sensitivity coefficient of each input variable, and obtaining sensitivity analysis measurement as description of model output uncertainty by decomposing a model output variance; and 4, calculating and sorting a sensitivity coefficient calculation result, outputting a high-sensitivity index set, and narrowing the working range of factor analysis and parameter optimization. According to the method, an existing power consumption analysis and evaluation data system is perfected; and quantitative analysis and prediction of the influence degree of the emergency are realized.

The invention provides a dual-core KCF target tracking method based on space-time saliency, and the method comprises the following steps: S1, extracting a target region, and extracting a salient region through a visual saliency model; s2, HOG features of a target frame and a significant frame are extracted respectively to train parameters of a filter; s3, respectively calculating response distribution maps yk and ys of the filters of the target frame and the significant frame based on the classification of the ridge regression classifier, wherein the coordinate positions corresponding to max (yk) and max (ys are the position of the target frame and the position of the salient frame; S4, calculating the offset of the target frame and the offset of the salient frame based on the position coordinates of the current frame and the previous frame, and carrying out weighted averaging on the offset to obtain a new offset value as the correction offset of the target frame; and S5, obtaining thecorrected target position of the current frame through the position of the previous frame and the correction offset of the target frame. The method is based on the KCF algorithm principle with good speed and accuracy at the present stage, and effectively solves the problem of target tracking drift.

The invention relates to a power management method of a multi-core symmetrical multi-processing-system. The power management method includes the statistics step and the operation step. At least two times of sampling are carried out on the number of to-be-processed threads in the multi-core symmetrical multi-processing-system through the statistics step, and the sampling time interval serves as a weight to calculate the weighted average of the number of the to-be-processed threads in the whole statistics period. In the operation step, the weighted average serves as a standard, the number of inner cores required to be started in a next statistics period is judged, the number of the inner cores required by the multi-core symmetrical multi-processing-system at present can be accordingly and reasonably judged, it is guaranteed that a system task can be timely processed, and meanwhile the whole power dissipation of the multi-core symmetrical multi-processing-system is reduced. In addition, the invention further provides a power management device of the multi-core symmetrical multi-processing-system.

The invention discloses a hundred-mark system marking method for honey quality. First, multiple indexes of honey are detected by a honey detecting instrument. Then, according to the relationship between each index and the honey quality, the detecting result of each index is marked by a hundred mark system to obtain the score of each index. Finally, the weighing average value of the scores of all the indexes, namely the comprehensive score of the honey quality, is calculated. Water, fructose, glucose, sucrose, acidity, hydroxymethyl furfural and diastase activity are used as the indexes, the honey quality is graded by 1-100 from the low to the high, and the honey quality can be visually learned by a consumer from the scores.

A method of UE RSRQ measurement precaution for interference coordination is provided. The UE receives radio signals of a neighbor cell under measurement. The neighbor cell applies a TDM silencing pattern for inter-cell interference coordination (TDM ICIC). The UE determines a measurement pattern that includes multiple subframes. The UE performs RSRQ measurements of the cell over multiple subframes and obtains multiple RSRQ measurement samples. The UE derives RSRQ measurement result by estimating the multiple RSRQ samples and applying a weighted average. RSRQ samples estimated to be more applicable are taken into account to more extent (e.g., applied with more weight), and / or RSRQ samples estimated to be less applicable are taken into account to less extent (e.g., applied with less weight, or discarded with zero weight). With UE precaution, a more predictable RSRQ measurement result is produced.

Thermoplastic polyether polyurethane polymers are disclosed which are mixed with a crosslinking agent to achieve long run times in a melt spinning process to make elastic fibers. The crosslinking agent is preferably a polyether or polyester polyol reacted with a diisocyanate. A melt spinning process is also disclosed using a polyether polyurethane with a crosslinking agent. Long melt spinning run times can be achieved without experiencing excessive pressure buildup in the spinneret and fiber breakage. The thermoplastic polyether polyurethane polymers are made by reacting: (1) a blend of two or more hydroxyl terminated intermediates wherein one intermediate is a polyether intermediate and has a higher number average molecular weight than the other said polyether intermediates, and wherein the weighted average number average molecular weight of said blend is greater than 1200 Daltons; (2) at least one polyisocyanate; and (3) at least one hydroxyl terminated chain extender. Melt spun fibers disclosed have excellent dye pickup, bleach resistance, and color fastness. The melt spun fibers can be dyed with polyester fibers and retain excellent physical properties.

The invention discloses a method for laying orchard sensors. The method comprises the steps: dividing an orchard into grids at intervals of 500m; subdividing the grids gradually, and merging the gridswith the same landform into a land parcel; obtaining the basic parameters of all land parcels according to the data of each landform sampling point; selecting the land parcel with the smallest coefficient of variation; obtaining the optimal sampling number n1 of the land parcels according to a Cochran optimal sampling formula; calculating the sampling number and slope ratio required by a land parcel ai according to the slopes of other land parcels; taking the weighted mean of the sampling numbers of all nutrients as a final sampling number, i.e., the number of sensors which are actually laidin the land. The method enables the orchard to be divided into n land parcels according to different landforms, so as to distribute different numbers of sensors. Specifically, the number of sensors ofother land parcels is deduced through the first land parcel. The method reduces the blindness of the precise fertilization of the orchard, improves the laying accuracy and scientificity of the sampling points of the orchard, achieves the optimization of the number under the certain precision, saves the cost, and facilitates the implementation.

A method of performing a two- finger gesture when the absolute position of the fingers does not need to be known in order to perform the gesture, wherein de-ghosting of results from a touch sensor that gives a false position and a real position for each actual finger on the touch sensor is performed by finding a strongest signal when performing a short aperture measurement from one side of the touch sensor so that the direction of a rotation gesture can be determined, and wherein flick and pinch gestures can all be calculated using de-ghosted weighted average and weighted absolute deviation calculations.

Composite materials contain fibers from natural sources and polyamides, wherein the polyamides have a softening point below 220° C., and a heat deflection temperature above 50° C. The polyamides consist of a) 30 to 70 mol % dimeric fatty acids, b) 30 to 70 mol % aliphatic dicarboxylic acids, c) 70 to 98 mol % aliphatic diamines, d) up to 25 mol % cycloaliphatic diamines e) up to 20 mol % polyether diamines, wherein aliphatic dicarboxylic acids are selected from linear, non-branched C10 to C18 dicarboxylic acids, and wherein the weighted average number of C-atoms is between 11.5 to 14.5, and the sum of mol % for acids and amine each add to 100.