250 results about "Rate curve" patented technology

Methods, computer programs, and systems for managing thread performance in a computing environment based on cache occupancy are provided. In one embodiment, a computer implemented method assigns a thread performance counter to threads being created to measure the number of cache misses for the threads. The thread performance counter is deduced in one embodiment based on performance counters associated with each core in a processor. The method further calculates a self-thread value as the change in the thread performance counter of a given thread during a predetermined period, and an other-thread value as the sum of all the changes in the thread performance counters for all threads except for the given thread. Further, the method estimates a cache occupancy for the given thread based on a previous occupancy for the given thread, and the calculated shelf-thread and other-thread values. The estimated cache occupancy is used to assign computing environment resources to the given thread. In another embodiment, cache miss-rate curves are constructed for a thread to help analyze performance tradeoffs when changing cache allocations of the threads in the system.

A crack growth rate and crack growth life prediction method for a mechanical structure belongs to a calculation method for fatigue crack growth rate and crack growth length of the mechanical structure. At first, a relationship between S-N and P-S-N curve expressions (power function form) and a crack growth rate curve expression (Paris formula) is built up in the method. A determination method of the crack growth rate under the conditions of block spectrum load, overload hysteresis load and random load is proposed. And a determination method of Paris curve parameters is provided when the S-N and P-S-N curves cannot be expressed in power function form. And a method for improving the prediction precision of the crack growth rate and the crack growth life is proposed. The S-N and P-S-N curves are used by the method to predict the crack growth rate and the crack growth life. Therefore, the method has the advantages of little dependence on tests and high precision and can shorten the product development period and save much manpower, material resources and financial resources.

An INS assistance-based satellite navigation spoofing-type interference resisting method is disclosed. According to the invention, by employing position and speed information provided by INS, spoofing-type interferences are eliminated in two steps. Firstly, invisible satellites are eliminated based on satellite elevation angles; and then, by using satellite ephemeris information and the position and speed information provided by the INS, the pseudo range and pseudo range change rate curve of a real visible satellite and a corresponding receiver are calculated and compared with the satellite resolving pseudo range and pseudo range rate received in a channel, thereby effectively eliminating satellite signals which mismatch conditions. The method of the invention overcomes the defect that conventional satellite navigation spoofing-type interference resisting needs the foreknowledge of signal types and adopts different interference resisting methods for spoofing-type interference signals of different types; and the method of the invention expands the algorithmic applicability and reduces the algorithmic complexity, thereby being more applicable to complex spoofing-type interference environments.

This arrangement of the invention makes intuitively comprehensible image correction of RGB color image data after conversion to HSI data in an intuitive HSI expression format, while ensuring no substantial change of the picture quality of a resulting color image by correction.

The technique of the invention analyzes an image consisting of sampling HSI data with regard to each of multiple memory colors, that is, flesh color, green, and sky blue, and sets color correction areas as object correction ranges and correction rate curves in the color correction areas in respective hue ranges of the multiple memory colors, based on the results of the image analysis. These settings are given in the form of a correction table. A correction rate curve set for, for example, the hue range of flesh color in the correction table corrects original hue data Horg of HSI data converted from RGB color image data with a fixed correction rate Δ h in a substantial color correction zone SkH2 to SkH3, while correcting the original hue data Horg of the HSI data with varying correction rates Δ h in a pre-zone SkH1 to SkH2 and in a post-zone SkH3 to SkH4 before and after the substantial color correction zone SkH2 to SkH3 in a preset color correction area SkH1 to SkH4. The correction rate curve does not make any correction for the original hue data Horg of the HSI data out of the preset color correction area SkH1 to SkH4.

Methods and systems analyze continued flow data in well testing data. Embodiments can determine relations between an isochron rate and influence factors under pre-detected lithologic conditions, acquire relational data between the isochron rate and the lithology of a reservoir, the structure of the reservoir, and fluid properties; establish a mathematical model of the isochron rate; collect bottom hole pressure at different collection moments respectively during the reservoir well testing process; acquire a measured isochron rate curve between the isochron rate V_p and the constant duration t; select well testing interpretation model parameters; calculate a model isochron rate V_p′ at different moments according to the mathematical model of the isochron rate and the selected well testing interpretation model parameters; acquire a model isochron rate curve between V_p′ and the model constant duration t′; and fit the model isochron rate curve and the measured isochron rate curve to acquire reservoir characteristic parameters.

The invention discloses a precession target micro-Doppler extracting method based on instant frequency modulation rate estimation. The precession target micro-Doppler extracting method based on instant frequency modulation rate estimation comprises the steps that (1) an equivalent scattering point model of a spatial precession conical target is established, echo signals of the conical target are received by a radar, echo sequences are obtained from the echo signals by using the equivalent scattering point model; (2) frequency modulation rates of the echo sequences are estimated with a relaxation demodulation line frequency modulation method; (3) the frequency modulation rates of the echo sequences are processed through a random sampling consistency algorithm, and P frequency modulation rate curves are obtained; (4) integral operation is carried out on the P frequency modulation rate curves respectively, and P instant micro-Doppler frequency estimation curves are obtained. According to the precession target micro-Doppler extracting method based on instant frequency modulation, high estimation accuracy can be obtained under the situation of the lower signal to noise ratio. The precession target micro-Doppler extracting method based on instant frequency modulation can be applied to analysis of the micro-Doppler frequency of the spatial precession conical target.

The invention discloses a structured network model compression acceleration method based on multistage pruning, and belongs to the technical field of model compression acceleration. The method comprises the following steps: obtaining a pre-training model, and training to obtain an initial complete network model; measuring the sensitivity of the convolution layers, and obtaining a sensitivity-pruning rate curve of each convolution layer through controlling variables; carrying out single-layer pruning from low to high according to a sensitivity sequence, and finely tuning and re-training a network model; selecting a sample as a verification set, and measuring the information entropy of the filter output feature map; performing iterative flexible pruning according to the size sequence of theoutput entropy, and finely tuning and re-training the network model; and hard pruning: carrying out retraining on the network model to recover the network performance, and obtaining and storing a lightweight model. According to the method, the large-scale convolutional neural network can be compressed on the premise of maintaining the original network performance, the local memory occupation of the network can be reduced, the floating point operation and the video memory occupation during operation are reduced, and the lightweight of the network is realized.

The invention relates to a state of charge estimation method and state of charge estimation system for the lithium battery of an electric vehicle. The state of charge estimation method includes the following steps that: the voltage of each battery is acquired in real time during charging and discharging; charging and discharging operations of different rates are performing separately a preset number of times, so that an initial charging and discharging rate curve showing a relationship between the voltage and the state of charge of the battery under the different rates can be obtained; a current average value and a battery voltage average value during a period of time are calculated; the proportional position of the current average value in an interval to which the current average value belongs is calculated; and a current charging and discharging rate curve is synthesized according to the proportional position; a table read battery remaining capacity corresponding to a current voltageis obtained, and an integral battery remaining capacity is obtained by means of charge integration, an error scale factor is calculated, and a current battery remaining capacity is calculated. With the method and the system of the present invention adopted, a complicated battery model is not required, the state of charge of a lithium battery pack, especially a ternary lithium battery pack, can beaccurately and accurately estimated, and the method and system are also effective under a condition that a lithium battery pack is aged.

The invention relates to a thermal analysis testing method of magnesium and magnesium alloy deteriorate process organizing thinning effect, which specifically uses the correlation between the deteriorate effect and the characteristic parameter on the cooling rate curve when a fused mass is solidified, establishes a thermal analysis testing technique, and develops a corresponding thermal analysis apparatus based on the thermal analysis testing technique. The thermal analysis testing technique of the invention has the following steps: 1, establishing a thermal analysis cooling curve (T -t); 2, derivation to the cooling curve to obtain a cooling rate curve (dT/dt -t); 3, respectively calculating the recalescence exothermic peak areas of the fused mass fore and after the deterioration; 4, defining the deterioration degree to judge the deterioration effect. The thermal analysis process includes data capture, computer analysis of the cooling curve, quantization of the exothermic peak areas, and result comparison; the process is realized by the computer and data analysis software, which are configured to a computer aided thermal analysis detecting device. The thermal analysis testing method and testing apparatus of the invention can be used in the smelting field of magnesium and magnesium alloy, as a ladle analysis approach to control and improve the metallurgy quality.

The invention discloses a method used for analyzing and improving yield of semiconductor production line. The invention is characterized in that a test chip is used for precisely determining the defect rate curves of various process modules of the production line and the failure rate of contact holes, and an effective area curve of power off, an effective area curve of leakage of each layer of product layout and the number of the contact holes are analyzed, and a model framework of the yield then can be built. The invention has the advantages that the invention can precisely calculate different effects of defect rates of various process modules on the yield and the invention enables production personnel to exactly know the effects of various process modules of the production line on the yield, thus the engineering personnel of the production line can be instructed to rapidly and effectively solve the deficiencies seriously affecting the yield, and the yield then can be improved rapidly and effectively.

The present invention discloses a determination apparatus and a determination method for reinforcing steel bar corrosion rate. The determination apparatus comprises a weighing instrument, a computer system, a fixture and a container for holding a liquid, wherein the computer system comprises a processor, an input device and a display device, the data output terminal of the weighing instrument is connected with the processor of the computer system, the determination apparatus further comprises a reinforcing steel bar lifting device, the reinforcing steel bar lifting device comprises a frame, the fixture, a fixture lifting mechanism and a linear displacement sensor for sensing a fixture lifting distance, and the displacement data output terminal of the linear displacement sensor is connected with the processor of the computer system. According to the present invention, characteristics of simple operation, high detection efficiency and high detection precision are provided, and the maximum corrosion rate along the reinforcing steel bar length direction and the corrosion rate curve along the reinforcing steel bar length direction can be accurately obtained.

The invention relates to a method for identifying damage and quantitatively analyzing damage degree of a main girder of a bridge erecting machine. Based on the present situation that the main girder support changes with time in the operation process of the bridge erecting machine, a main girder structure type judging module MI, a damage identifying and analyzing module MII and a damage quantitatively analyzing module MIII are established. The damage identifying and analyzing module includes: (1) a deflection test system is installed; (2) deflection detection data is collected; (3) the detection data is processed to obtain a deflection influence line f1 (x); (4) the deflection influence line is processed to obtain a deflection rate curve f1 "(x); (5) whether mutation exists is judged; (6) the locations and quantity of injuries are judged. The damage quantitatively analyzing module includes: (1) a numerical simulation model is established; (2) n kinds of damage conditions are constructed, and m damage degrees are constructed for each kind of damage condition. (3) the deflection values of different damage degrees are obtained, and the relationship curve of deflection rate and damage degree is defined. (4) the relationship of deflection rate and damage degree of the main girder of the bridge erecting machine is obtained. The invention solves the problem that the structural damage of the main girder of the bridge erecting machine cannot be found in time, and the bridge erecting machine is easy to cause a serious safety accident.

The invention discloses a fuel cell temperature control method and device. The control method comprises the steps as follows: detecting the coolant temperature of a coolant at a cooling part inlet ofa fuel cell, calculating the coolant temperature change rate according to the coolant temperature, comparing a preset target temperature change rate curve with the coolant temperature change rate, judging whether the coolant temperature change rate conforms to the closed-loop control condition, if yes, calculating a first duty ratio according to the difference between the target temperature changerate and the coolant temperature change rate, calculating a second duty ratio according to the difference between the target temperature and the coolant temperature, calculating a target duty ratio according to the first duty ratio and the second duty ratio, and adjusting a heat dissipation device according to the target duty ratio. The method has the advantages that the reaction speed is high, the temperature control is accurate, overshoot, oscillation and other phenomena can be avoided, so that the working environment of the fuel cell is more stable, the service life of the fuel cell is prolonged, and the reliability of the fuel battery is improved.

The present invention provides a transient assessment evaluation feature selection method and device. The method comprises the following steps that: a weighted random forest model is constructed; features with the lowest importance are deleted from calculated feature importance; final feature sequencing is performed on the retained technical features; and features which are high in ranking are retained according to OOB (Out-Of-Bag) error rate curve changes. According to the transient assessment evaluation feature selection method and device provided by the technical schemes of the invention, few unstable sample data weight factors are introduced into the weighted random forest, so that the influence of unbalanced data on feature selection can be decreased, feature subsets of which the performance can be better than that of feature subsets selected by an ordinary random forest algorithm can be selected; and threshold values are not required to be set manually, and the rationality of the selected feature subsets can be ensured.

The invention provides a metal material flow stress curve measuring method. The metal material flow stress curve measuring method comprises the following steps of A, detecting variation of a strain rate in a high-temperature metal material uniform-compression experiment carried out by a testing machine, B, constructing a three-dimensional curve function comprising an x-axial true strain curve, a y-axial strain rate curve and a z-axial true stress curve, and C, carrying out interpolation on the three-dimensional curve function obtained by the step B to obtain a stress-strain correction curve. The invention also provides a metal material stress-strain curve use method. The three-dimensional curve of true strain and true stress at a true strain rate is constructed and through interpolation, strain rate-caused influence is further eliminated and the stress-strain correction curve is obtained and thus the influence caused by strain rate increasing in compression on stress-strain curve warping is reduced under the conditions of the existing testing machine precision and the existing control system so that the stress-strain curve is approximate to true.

A novel foam concrete block for self-heat-insulation of a wall body relates to a light-weight foam concrete block for heat insulation of a wall body. In the invention, the foam concrete block, of which the porosity and the pore size are changed continuously, is formed by mixing and stirring a large-flowability slurry material and foams in different proportions and continuously pouring the mixture. The large-flowability slurry material is composed of following components, by mass: 100 parts of cement, 10-30 parts of a blending material, 0-5 parts of an additive agent, 0-3 parts of fibers, 0.5-5 parts of a water reducing agent and 25-84 parts of water. According to the required compressive strength and thermal resistance of the block, addition rate curves of the foam and the slurry material are designed. A finished product of the foam concrete block is prepared through continuously material feeding, material stirring, material discharging, pouring and maintenance. The novel self-heat-insulation foam concrete block is wide in source of raw materials, is simple in producing process, is low in cost and is controllable in performances. The foam concrete block can be widely applied in a single heat-insulation wall body of an external wall (self heat-insulation of the wall body), internal and external separation walls in frame structure, back board walls of a large wall cabinet, and fireproof, sound-insulating and heat-insulating layers of internal wall.

The invention belongs to the technical field of mechanical numerical control machining, and relates to a multi-constraint five-shaft machining feeding rate setting method. According to the method, firstly, feeding rate values of sampling points are determined according to chord height difference constraints, cutter shaft angular speed and speed constraints of shafts of a machine tool, and an original feeding rate curve is constructed; by means of a proportional control algorithm, feeding rate values of acceleration or saltus poor points are determined again, so that acceleration and saltus gradually reduce according to the synclastic rule; a curve evolution strategy is adopted, the original feeding rate curve deforms in a one-point constraint or multi-point constraint mode, so that the original feeding rate curve deforms smoothly to a designated feeding rate updating position, and smooth transition of an adjustment area and a non-adjustment area of the feeding rate curve is achieved. Off-line setting of a five-shaft machining adaptability feeding rate is achieved, parallel constraint requirements of five-shaft machining geometric characteristics, process characteristics and machine tool drive characteristics are met, and machining accuracy, quality and efficiency are guaranteed.

The invention discloses a disperse dye printing technology for a polyester blanket. The technological process comprises steps of printing, pre-baking, aging, washing and tender drying. With adoption of either low-temperature dyeing carrier printing technology or high-temperature and high-pressure aging printing technology, the medium-temperature AF-series disperse dye can guarantee chromatic aberration in a range from grade 4 to grade 5, color reproducibility and brilliance are good, the shape of a color fixation rate curve is more flat or a flat area is wider, mutual splicing is facilitated, dye molecule particle size and particle size distribution are more concentrated, crystal form stability and reproducibility are good, the hue change in certain temperature fluctuation range is small, and front and back roll-to-roll shading is more stable; and besides, the dye has good synchronous fadedness, light fastness and staining fastness and totally meets JIS (Japanese industrial standards) of Japanese textile testing, and the rate of graded products of warp knitting fabric blanket and woolen blanket production is higher than 98%.

The invention provides a numerical control machining feed rate programming method based on curve smooth deformation, and belongs to the technical field of numerical control machining. According to the programming method, feed rate constraints are divided into neighbor-independent (NI) constraints and neighbor-dependent (ND) constraints. Firstly, the maximum feed rate of the technological requirement is set to be an initial feed rate line, and then a feed rate curve of the neighbor-independent (NI) constraints is obtained through one time of curve smooth deformation. Then a feed rate curve of the neighbor-dependent (ND) constraints is obtained through multiple times of curve smooth deformation via combination of a proportional regulation algorithm. According to the feed rate programming method, a fairing item is added on the basis of curve deformation of pure geometric approximation error constraints so that the obtained feed rate curve has better fairness, fluctuation of the feed rate curve is eliminated to the largest extent and the machining process is ensured to be stable. Objectives that machine tool machining vibration is reduced, machine tool machining is ensured to be stable and component machining precision is enhanced can be achieved so as to possess substantial significance in enhancing machining efficiency and machining quality.

The invention relates to a testing method related to an oil pump assembly for an automatic gear box, which comprises the following steps: preparation stage on testing platform; set the preliminary working status; set oil temperature, rotation speed and oil pressure; check a singlechip to determine if all-round data collection is needed; if not, return to the said condition; if yes, collect data from all sensors; the singlechip processes all the sensing information in digital signal; the singlechip compares various temperature-flow rate curve, rotate speed-flow rate curve and pressure-flow rate curve with the theoretical ones, so as to test whether the deviation between the two is no more than 1 percent or not; the testing result can be output and the testing shall be finished if the parameters for all the oil pump have been qualified in the testing. Therefore, the invention verifies and improves the designed oil pump, as well as improves the performance and service life of automatic gear box and the hydraulic system.

The invention provides a statistical method of power utilization information acquisition terminal online time and an online rate. Through analyzing a captured acquisition terminal communication data packet, the online time and online rate data are acquired. The method possesses an advantage of not depending on an acquisition main station. A problem that acquisition main station data can not be used or can not be acquired under some conditions is solved. Through analyzing the captured acquisition terminal communication data packet, online and offline time of each terminal is acquired, an online terminal number is derived and acquired, and then an online rate curve of the terminals is acquired. The advantage of backtracking an online condition of any terminal at any moment according to need is possessed. Problems that a main station online rate curve is not accurate, curve precision is insufficient and a statistical dimension is insufficient, which are generated because of a program defect, system performance, a system function and other reasons, are solved. And a problem of calculating single terminal online time is solved too.

The present invention discloses a sudden loess landslide early warning method and an application thereof, belonging to the technical field of landslide prevention and control engineering. The method comprises the following steps of: a, preprocessing of deformation monitoring data; b, determination of a multi-stage deformation rate threshold Vt; c, determination of a deformation rate increment [Delta]V; d, division of different landslide deformation rate curve features; and e, integration early warning through combination of the multi-stage deformation rate threshold Vt and the deformation rateincrement [Delta]V. The multi-stage deformation rate threshold is arranged to determine whether the landslide generate a large deformation or not in advance and track a deformation development trendin real time based on the deformation rate increment, and therefore, the combination thereof achieves total-process early warning of the sudden loess landslide, the early warning accuracy and the early warning efficiency are greatly improved, and the disaster prevention applicability is good.

A method for representing single-crystal Ni-base alloy creep resistance comprises the steps of building a creep curve model suitable for single-crystal Ni-base alloy creep characteristics; determining model parameters to obtain a creep curve equation; performing creep data regression to obtain a fitting creep curve for describing a creep process; obtaining a creep rate equation, obtaining the minimum calculation creep rate and calculating a creep rate curve; combining specific requirements for representing the single-crystal Ni-base alloy creep resistance.Various single-crystal Ni-base alloy creep curves under constant temperature and constant stress except the extremely-high temperature or extremely-high stress and creep rate distribution can be accurately expressed; the corresponding relations of various creep curve equation items and creep parameters and alloy creep curves is revealed; the problem that some alloy cannot represent creep characteristics easily through the creep activated energy and stress indexes is solved; and the method is of great importance in further knowing the creep characteristics and rules of single-crystal Ni-base alloy.