32 results about "Stability Model" patented technology

What is disclosed is a novel system and method for determining color profiles based upon optimizing image output color stability. For each of a number of selected output colors, color stability values for a set of device-dependent color specifications that produce the selected output color are iteratively determined. The set of device-dependent color specifications is generated by varying a subset of colorants in the device-dependent color specifications while changing the remaining colorants to maintain the selected output color. The iterative process improves the color stability value, as determined by a color stability model, of the device-dependent color specifications that correspond to the selected output color. When an optimum color stability value is found, the device-dependent color specification having that color stability value is selected as the mapping for the selected device-independent color specification. Various embodiments are disclosed.

The invention discloses a stability modeling method for a macroscopic traffic flow velocity gradient viscosity model, which is used to solve the technical problem that the existing model is difficult to directly deal with the traffic congestion problem. The technical solution is to obtain the relationship between the traffic congestion problem and the system stability by establishing a new traffic model on the basis of the existing model, so as to use the global stability perspective to determine whether traffic congestion or other abnormal phenomena will occur macroscopically. , provides the basic basis for traffic control and decision-making, and is directly applied to deal with the problem of traffic congestion.

The invention discloses a milling multi-objective optimization decision-making method introducing three-dimensional stability constraint. The method comprises the following steps: constructing a three-dimensional stability model about the rotating speed, the axial cutting depth and the radial cutting depth of a milling main shaft; establishing a milling parameter optimization model which takes high efficiency, low cost and high profit as objective functions and takes machine tool performance, cutter performance, workpiece performance, stability requirements and machining requirements as constraint conditions; and solving the milling parameter optimization model by using a multi-objective firefly optimization algorithm based on a clustering principle to obtain a plurality of groups of optimal process parameters. The invention provides a more reasonable optimization decision-making method for multi-objective optimization of the milling process parameters, and provides an effective and practical technology for optimization selection of the multi-feed high-speed milling process parameters.

The invention relates to a method for prediction of flutter in numerical-control milling of mold cavities, aiming to solve problems that conventional methods for predicting stability in milling utilizing single tool path are low in applicability, which causes low accuracy of flutter prediction, accelerates failure of tools and affects processing quality of mold cavities. The method for predictionof flutter in numerical-control milling of mold cavities includes the step 1, building the relative transfer function of a tool-workpiece system; the step 2, introducing the relative transfer function of the tool-workpiece system to a three-dimensional milling stability model to obtain a critical axial cutting depth at the milling flutter frequency of a milling cutter; the step 3, judging whetherthe mold cavities flutter in numerical-control milling according to the critical axial cutting depth obtained in the step 2. The method is applied to the field of numerical-control milling of the mold cavities.

The invention discloses a method for determining the safe drilling fluid density of a coal bed based on a structural element analysis model. The method has the advantages of coal bed cleat and fracture development, big rock brittleness, low strength and obvious anisotropy and discontinuity. The borehole wall instability characteristics of the method are different from those of the common sandstone stratum. The phenomenon that the traditional borehole wall stability model based on the mechanics of continuous media is difficult to be successful for solving coal bed instability problems can be eliminated. In the method, the coal bed is composed of discrete blocks. A coal briquette which has the biggest possibility of generating spallation between surface cleats is analyzed to carry out force analysis. A structural element model of collapse pressure is built by the stressed balance condition among pressure stress, shearing strength and shaft pressure. A coefficient c is introduced to judge the stable relationship of borehole pressure and borehole wall so as to judge the range of the safe drilling fluid density.

The invention relates to a high-stability model for a non-linear time-lag power system. According to the model, the concentration of extracellular 1,3-propylene glycol is taken as a performance index,the approximate stability of the non-linear time-lag power system and an intermittent fermentation system, relative errors of the concentration of intracellular and extracellular substances, the stability of the concentration of intracellular substances and the like are taken as main constraint conditions, and the high-stability model is established. According to the high-stability model, the non-linear time-lag power system is established and converted into a linear variational equation, a method for linearly processing a non-linear problem is established, the non-linear time-lag power system is better solved, the condition of the high-stability model for the non-linear time-lag power system is provided, and the existence solution method of the high-stability model is given.

The invention discloses a wearable device sensor technology-based user behavior measurement method and an operation deviation rectification model. The method mainly comprises the following steps of 1)performing data collection; 2) performing data uploading; 3) performing behavior analysis; 4) judging a current motion state of a user; 5) building the interface operation deviation rectification model; and 6) according to the deviation rectification model and a sliding stability model, rectifying a deviation of user operation. The invention aims to provide the wearable device sensor technology-based user behavior measurement method and the operation deviation rectification model. The user behavior data can be widely and popularly collected; the collected data can be uploaded to a shared platform for quick visualization and subsequent test analysis; and the user-based operation deviation rectification model can be built.

The invention belongs to the field of milling processing, and specifically discloses a processing trajectory optimization method based on parameterized milling force and stability constraints. Including: considering the tool axis runout and tool attitude changes, constructing the tool cutting force model, and at the same time building the milling stability model; taking the stability model as a constraint, according to the tool cutting force model to obtain the control hard point in different tool attitudes and feeds The cutting force value of the tool under the direction, and use this to classify the angle parameters of the tool attitude, so as to construct the angle parameter classification model of the non-control hard point on the parametric surface; according to the digital angle parameter classification table of a control hard point corresponding to An ideal tool path is induced by the optimal tool pose of ; with the residual height as a constraint, all tool paths on the parametric surface are obtained. The method of the invention can plan a tool path with relatively small cutting force, which is beneficial to improving the surface quality of the workpiece, processing efficiency, tool durability and the like.

The invention discloses a method for synergistic control of speed of mixed traffic in a merge area based on stability analysis, specifically: with "1+ N "The form constitutes a vehicle cluster, "1" represents an intelligent self-driving vehicle CAV," N "Represents the following multiple artificial vehicles HV; build an intra-cluster stability analysis model, and analyze the intra-cluster stability conditions; under the premise of satisfying the intra-cluster stability conditions, build an inter-cluster stability model, and analyze the inter-cluster stability conditions; based on Cluster and inter-cluster stability conditions, build cluster synergy speed control model, under satisfying cluster and inter-cluster stability conditions, guide the incoming cluster to enter the confluence area smoothly by controlling the CAV speed. The present invention takes the expressway confluence area as research Object, the speed cooperative control model is built on the premise of stability, which improves the accuracy, effectively reduces the risk of traffic flow, improves the dynamic space occupancy rate and reduces exhaust emissions.

The invention relates to a reliable routing method in the context of a mobile Ad hoc network. The method aims to improve effectiveness of data transmission, takes combination of link stability and route selection as the core concept and solves the problem of reliable routing in the context of the Ad hoc network. In the method, data link layer design is closely linked with network layer design; the data link layer generates the newest link stability information for each node according to a link stability model; the network layer configures a link stability form according to the information; the nodes establish routings according to needs when needing to transmit data; the network layer takes the link stability form as a basis, the link stability as a standard for weighing on route selection to establish a reliable routing between the source nodes and the target nodes; a redundancy link is established for unstable links in routing paths to further improve reliability of the routing; advantages of active routing protocol and source-initiated protocol are integrated, routing reliability is ensured in that the link stability form needs to be updated in time; routing information in the routing form only needs to be updated when transmission begins, thus reducing extra expenditure for information control.

The invention discloses a quartz flexure accelerometer parameter stability modeling method, namely a parameter stability modeling method for a quartz flexure accelerometer based on a random point degradation model. The method comprises the steps that first, the degradation model containing random change points is established; second, a likelihood function of observation data is estimated; third, a deficient number is separated from the observation data; and fourth, parameter estimation is performed through an EM algorithm. Through the steps, the degradation model is established through product main performance parameters, test cost and test time are saved for products with high construction cost, high reliability and long service life, and the method has practical significance; an accelerometer parameter stability model is established and the random change points are estimated mainly targeting the problem of poor parameter repeatability of the quartz flexure accelerometer to make sure accelerometer parameters gets into a stable profile cycle number, and the method has huge practical significance in practical engineering application.

The invention relates to a strong stability model for a non-linear multistage enzyme catalysis system. According to the model, an optimization method is adopted to reveal a problem that a reactant hasdifferent characteristics at different batch fermentation phases. The strong stability model is established in such a way that concentration of extracellular 1, 3-propylene glycol is used as a performance index, and approximate stability of a hybrid nonlinear dynamic system and a batch fermentation system, a relative error of concentration of intracellular and extracellular substances, biologicalrobustness of concentration of the intracellular substances are used as main constraints; research is conducted on a non-linear power system of which a analytical solution cannot be obtained and of which no equilibrium point is available. Via the strong stability model, a non-linear multistage power system is built and converted into a linear variation equation, a linear processing method for non-linear problems is established, the non-linear multistage power system is well solved, conditions for the strong stability model for a non-linear multistage batch enzyme fermentation catalysis powersystem are put forward, and output of the system can be maximized via calculation based on a control model.

The invention discloses a milling finish machining method based on the dynamic rigidity of an impeller blade. The dynamic modality of the impeller blade is obtained through a standard modal test, a flutter model is introduced to obtain a stability criterion, and reasonable machining parameters are acquired. The method comprises the followings steps of: 1, performing the modal test to measure the dynamic modality of the impeller blade; 2, building a milling stability model of the impeller blade; 3, studying the dynamic rigidity stability of the impeller blade; 4, obtaining a cutting stability condition under the dynamic rigidity of the impeller blade; and 5, verifying the cutting stability condition and adopting the finally optimized cutting parameters to machine. The problem of cutting flutter caused by milling of thin-walled parts such as the blade is solved by the method, and the machining stability is obviously improved by optimizing the cutting parameters. The method is suitable for finish machining of various thin-walled parts.