209 results about "Dimensional analysis" patented technology

Previously disclosed methods and devices are extended in this application by two-dimensional analysis of optical proximity interactions and by fashioning a computationally efficient kernel for rapid calculation of adjustments to be made. The computations can be made in realtime, whereby the use of OPC assist features can be reduced, with substantial savings in file size and computational requirements. Further aspects of the invention are disclosed in the descriptions, figures, claims and documents incorporated by reference.

A system for analyzing data from a data set is disclosed. The system includes analysis logic responsive to a dimensional analysis control and an attribute analysis control for the same data. This logic can incrementally update the state of a data presentation from an existing state to a new state, and then remain responsive in the new state to further user input via the dimensional data analysis control and further user input via the attribute analysis control to further incrementally update the presentation.

The invention belongs to the flex-wing miniature aircraft auxiliary design technical field. The invention is characterized in that: the following modules which are respectively a structure-flow field entity modeling and basic assumption module, a k-epsilon turbulent flow model flow field analysis module, a linear elastic structure analysis module and a structure-flow field coupling interface module are set in a computer, wherein, the structure-flow field entity modeling and basic assumption module is provided with flexible wings and a three-dimensional model in a circumferential flow field; the k-epsilon turbulent flow model flow field analysis module is used for obtaining distribution pressure on a fluid-solid coupling surface of the flow field under different flight conditions; the linear elastic structure analysis module obtains displacement and speed of flex-wing structure meshes; the structure-flow field coupling interface module obtains deformation of the meshes of the flow field from the obtained displacement of the flex-wing structure meshes, and the deformation is taken as an input condition of the k-epsilon turbulent flow model flow field analysis module and then outputted; distribution pressure on wing surfaces of the flexible wings is obtained according to the distribution pressure of the flow field and taken as an input condition of the linear elastic structure analysis module and then outputted. The flex-wing miniature aircraft has the advantages that: higher accuracy than two dimensional analysis is guaranteed and simultaneously the efficiency of simulation calculation can be improved.

The invention provides a B image balancing method and a system structure based on two-dimensional analysis relating to a data processing technology of ultrasonic B image in medical field. A data buffer region is additionally arranged in an ultrasonic imaging system to store demodulated and desampled data and write the data into 'digital time gain compensation', namely a DTGC parameter generating module, and then the DTGC parameters output by the module are written into a DTGC module; the DTGC module compensates the data of each beam or every adjacent plurality of beams of receiving scanning lines with different DTGC parameters PDM[i][j], wherein, the PDM[i][j] is a two-dimensional array and the value is different for different receiving scanning lines. Compared with the prior art, the method and the system structure have the beneficial effects that the two-dimensional DTGC parameters overcome the defect that the lateral balancing of the image cannot be solved by one-dimensional DTGC parameters only related to depth; in addition, the two-dimensional DTGC parameters full automatically analyze and need no customer involvement, thereby simplifying customer operation.

The invention discloses a coal-mine gas geology four-dimensional analysis method. The method includes acquiring depositional environment data, geologic structure data and hydrocarbon generating history data, and determining a gas enrichment save state, a gas occurrence main controlling factor and a coal and gas outburst risk degree in a study area; then performing gas geology unit division and testing point arrangement; and finally establishing a gas occurrence mathematical model and forming a gas geologic map. According to the coal-mine gas geology four-dimensional analysis method which is established from four-dimensional angles of space ( an area or a layer ) and time, original coal-mine gas geology analysis methods are broken through; the difference problems of gas occurrence or coal and gas outburst disasters on different coal layers, which can not be explained by traditional gas geological theories under same geologic structure conditions on the layer, are solved; and area and layer analysis of coal-mine gas geologies is achieved, problems that a gas geology unit is difficult to divide and different persons acquire different results according to the same data are solved, the work loads of gas geology analysis are reduced, and the guide of safety production is truly achieved.

The invention provides a method for detecting teacher sub-health states based on a classification and regression tree. The traditional sub-health assessment for college teachers lacks timeliness, objectivity and efficiency. In the big data environment, the machine learning technology can be used for establishing a sub-health assessment model more effectively, so as to support prediction and early-warning of the sub-health states of the college teachers. The method for detecting teacher sub-health states based on the classification and regression tree comprises the steps of: firstly, performingmulti-dimensional analysis and conceptual modeling on college teacher sub-health influencing factors; secondly, performing analysis and data pre-processing on features of sample data; on this basis,utilizing a classification and regression tree algorithm for giving out a detailed process of modeling a sub-health decision-making model, and analyzing assessment indexes; and finally, utilizing a Spark distributed computing framework to give out parallel implementation of model construction. The method provided by the invention is more efficient and objective, can immediately reflect the sub-health states of the teachers, and supports the prediction and early-warning of the sub-health states of the college teachers.

The invention discloses a parallel computing method capable of expanding a precision Logistic chaotic sequence, comprising the following steps: (1) saving initial parameters x0 and mu integer quantization to an one-dimensional array, and arranging the precision required to be achieved or designating iterative times; (2) the first part of the parallel computational algorithm x=x*(1-x): utilizing amatrix to save and compute the intermediate result, modifying the length of a dynamic array and saving the computation result to the dynamic array; (3) the second part of the parallel computational algorithm x=mu*x: saving the computation result to the dynamic array; (4) and if the precision or the iterative times achieves the required value, acquiring the chaotic sequence in the dynamic array, thus the computation is finished, and otherwise, transferring to step (2). The method of the invention fully utilizes the properties of a chaotic system, provides the chaotic sequence of a more expansive mapping space, can be used in the fields of secret communication, information safety and so on, and is especially suitable for encryption, storage and network transmission of graph, image and multimedia and other information.

The invention provides a public platform lottery holding method based on a product two-dimensional code. The method comprises steps that: a consumer terminal scans and analyzes the product two-dimensional code; a terminal ID and a two-dimensional analysis result are uploaded to a cloud server; the cloud server establishes a consumer data linked list and adds the consumer data linked list to a lottery holding data base according to the terminal ID and the two-dimensional analysis result; a lottery holding result is stored into the consumer data linked list and a lottery holding result prompt is fed back to the terminal, if a prize is won, the lottery holding result prompt comprises merchant official account subscription information and a verification code; the terminal subscribes the official account and inputs the verification code through a third-party social contact application; and after the official account verifies the verification code, awards are granted to the third-party social contact application. After a consumer wins the award by scanning the code, the consumer can accept the award only after subscribing the merchant official account, so promotion and popularization of official accounts are facilitated; and after the first consumer shares the official account and other consumers subscribe the official account and accept the awards, the first consumer can accept the award again, so accumulation of users and subscription degree of the official accounts is facilitated and enthusiasm for sharing of the consumers is improved.

The invention belongs to a melting-zone shape-factor model solving method based on high-energy density beam welding joint mechanical properties, which is suitable for the electron beam welding technique of various metals. The invention takes the traditional thermodynamics as a base and starts from the theory of electron beam welding to realize parameterized reproduction of the melting-zone shape by abstracting the shape features of the joint melting-zone and to get a qualutative model of the melting-zone shape-factor in virtue of temperature field analysis and dimensional analysis, i.e. to solve the mathematical model of the melting-zone shape-factor by numerical solution. With the strong support of mathematical and thermodynamics basic theories, the theory base of the established model is good and can easily explain and elaborate the physical theory of the shape-factor mathematical model. The solution of the melting-zone shape-factor mathematical model changes the prior state that the welding mainly depends on experiences, and is good for technicians to regulate processes and design proposals; the model fully takes impacts of various factors into account so as to reduce the process test times.

A method and apparatus are disclosed for the 3-dimensional analysis of movement of tooth surfaces of the maxilla (MX) in relation to the mandible (MN), comprising a measurement system for determining the movement of two solid bodies in all degrees of freedom by means of electronic measurement sensors. A measurement MX-sensor is mounted with respect to the maxilla and a measurement MN-sensor is mounted with respect to the mandible, and the positions of the measurement sensors are recorded continuously during the performance of mandible movements.

The invention discloses a residual stress detection method based on an instrumented indentation technology. The method comprises the following steps: (1) obtaining mechanical parameters of tested materials in advance by a uniaxial tensile experiment or an indentation experiment; (2) respectively carrying out the indentation experiment on a sample with residual stress and a sample free of residual stress by adopting a pressure head, and obtaining indentation load-depth (F-h) curves, wherein the sample free of residual stress is taken as a reference sample, and the material of the sample is the same as that of the sample with residual stress; (3) respectively fitting loading sections of the indentation load-depth (F-h) curves of the sample with residual stress and the sample free of residual stress by using the formula F=Ch<2>, and obtaining the loading curvature C of the sample with residual stress and the loading curvature C0 of the sample free of residual stress; (4) selecting relative loading curvature (C-C0)/C0 as an analysis parameter, and building a relational expression between the analysis parameter and the residual stress by dimensional analysis and numerical simulation; and (5) substituting the obtained parameters C and C0 and material mechanics parameters into the relational expression, and calculating the residual stress of the tested material. The residual stress detection method has the advantages of high accuracy and good reliability.

The invention provides a method for backward deducing a constitutive model of a welding joint based on a nanoindentation test, comprising the following steps: step 1, constructing a constitutive modelof the welding joint; 2, carry out dimensional analysis to obtain a dimensionless function between stress and strain; 3, selecting that material satisfying the constitutive relation of the step 1, and carry out finite element simulation on the process of pressing the indenter into the material; 4, determining the selected material and the corresponding stress and strain, substituting the selectedmaterial into a dimensionless function, and determining the function value corresponding to each material; 5, fitting the obtained mechanical property parameter and the function value to obtain the expression of the dimensionless function; 6, perform nano indentation test on that weld joint to obtain the mechanical property parameters of the weld joint; Step 7: The constitutive model of the welded joint is deduced backwards by using the mechanical property parameters. The invention provides a reverse inference method for welding joint constitutive model based on nano-indentation test, which has the advantages of wide applicability, low cost and high accuracy.

Disclosed herein is a method of analyzing the behavior of pollutants in a stream through the prediction of a transverse dispersion coefficient. The method includes the steps of (a) surveying and storing stream data, including the flow velocity, depth, sinuosity, width and longitudinal dispersion coefficient of a target stream; (b) deriving a transverse dispersion coefficient by arranging only dimensionless factors that influence transverse mixing through dimensional analysis, and assuming that the transverse dispersion coefficient is a product of power functions; (c) collecting hydraulic data and transverse dispersion coefficient data of domestic and foreign streams; (d) deriving the predicted value of the transverse dispersion coefficient from the transverse dispersion coefficient through regression analysis; (e) obtaining a numerical solution by constructing a numerical model using the flow velocity, depth, sinuosity, width and longitudinal dispersion coefficient of the stream and the transverse dispersion coefficient.

The invention relates to a system for achieving transient signal capture and spectral analysis. The system comprises a superheterodyne receiver and a digital intermediate frequency capture and analysis module. The digital intermediate frequency capture and analysis module comprises an analog-digital conversion unit, an IQ modulation unit, a rapid Fourier transform unit and a mapping and recording unit. The mapping and recording unit is used for calculating the signal amplitude of each frequency component output by the rapid Fourier transform unit, conducting probability mapping on the signal amplitudes and recording the appearing frequency of frequency points. According to the system for achieving transient signal capture and spectral analysis, by the adoption of the structure, the information of the frequency, amplitude and occurrence probability and time of signals can be analyzed and recorded at the same time, the method for comprehensively analyzing suddenly-burst signals is provided, the occurrence probability and the specific time of the signals are analyzed from the perspective of the frequency domain, four-dimensional analysis can be carried out on the signals, and the system is widely applied in the actual signal analysis, has good flexibility and expandability and is applicable to large-scale popularization and application.

The invention aims at providing a four-dimensional analysis-based biological feature recognition method and a four-dimensional analysis-based biological feature recognition system. The method is characterized by comprising the following steps of acquiring an image with biological features to serve as a target image; preprocessing the target image; performing image comparison on the preprocessed target image and a reference image preregistered so as to obtain an image energy residual value between the target image and the reference image, wherein the image comparison comprises comparison between a designated comparison area in the target image and a corresponding comparison area in the reference image; when the image energy residual value is less than or equal to a preset threshold value, determining that the target image and the reference image are matched, and otherwise, determining that target image and the reference image are unmatched.

The invention discloses a method for calculating back-silting gradient behind debris flow silt arrester and applications and belongs to the technical field of debris flow prevention engineering. The method comprises following steps: determining yield stress [tau] of debris flow, volume weight [rho] of debris flow, and a particle size D90 corresponding to particle sizes less than 90% of accumulative percentage composition of the debris flow; determining non-dimensional yield stress [tau]* by means of the yield stress [tau] of debris flow, the volume weight [rho] of debris flow, and the particle size D90 corresponding to particle sizes less than 90% of accumulative percentage composition of the debris flow; establishing a back-silting gradient calculating model and substituting the non-dimensional yield stress [tau]* in a back-silting gradient calculating model form 2; determining a gradient factor S and substituting the gradient factor S into a formula 3 to determine the back-silting gradient [alpha] of the back-silting gradient behind a debris flow silt arrester. The method determines the important influencing factors of the back-silting gradient by dimensional analysis, and obtains an accurate calculation model of the back-silting gradient, which can provide important data reference for the silt arrester to improve the control effect of the debris flow.

The invention discloses a flow field analysis method for earth and rockfill dam seepage flow monitoring and calculation. The flow field analysis method for earth and rockfill dam seepage flow monitoring and calculation comprises the steps of firstly measuring the underground water level distribution situation in a seepage field, then conducting two-dimensional analysis calculation on underground water level and accordingly obtaining total seepage flows of a flow field. The flow field analysis method for earth and rockfill dam seepage flow monitoring and calculation has the advantages that the novel method for earth and rockfill dam seepage flow monitoring and calculation is specifically a flow filed analysis method, is suitable for analysis of the dam foundation phreatic layer seepage field situation of a dam built on a deep water-permeating layer foundation and comprises the steps of monitoring amount determination, measuring point arrangement, measurement means and complete matching of a result calculating method, the problem that a traditional closure water-collection measurement method cannot be applied to the deep water-permeating layer dam is thoroughly solved, and the flow field analysis method is simple and feasible.

The invention discloses a method for forecasting transient unloading induced vibrations based on the strain energy of rock masses, which comprises the following steps: establishing a function relation between the strain energy Sa released by excavated rock masses and a peak vibration velocity v of a transient unloading induced vibration based on dimension analysis; and actually measuring a vibration waveform of surrounding rocks and calculating the strain energy of the excavated rock masses, and based on the function relation between the strain energy Sa released by excavated rock masses and a peak vibration velocity v of a transient unloading induced vibration, obtaining a transient unloading induced vibration forecasting formula by using a nonlinear fitting method, thereby carrying out forecasting on the transient unloading induced vibration of the excavation of a deep underground cavern. The method disclosed by the invention improves the forecasting accuracy of the transient unloading induced vibration of the blasting excavation of deep rock masses, and can be widely applied to the forecasting of the transient unloading induced vibration of the blasting excavation of deep underground engineering such as water & electricity, transportation, mines, and the like.

The invention discloses a regional power transmission network operation multi-dimensional analysis method based on big data, and the method comprises the steps: carrying out the screening of importantfeatures based on mutual information, and forming a typical operation curve through a fuzzy C value clustering and pedigree clustering algorithm; removing heavy overload sample data caused by operation mode change, maintenance and the like; carrying out multi-dimensional analysis on whether the power transmission network can meet the load demand or not; carrying out the power transmission networkoperation multi-dimensional analysis on the basis of the operation efficiency, the equipment level and the load supply and demand coordination, carrying out multi-level division on power transmissionnetwork regional development. The deviation of evaluation standards caused by subjective cognition is reduced, the scientificity and reasonability of evaluation results are ensured, and reliable reference suggestions are provided for power grid planning personnel.

Disclosed herein is a chemistry and physics calculator for helping a user to solve chemistry and physics problems. The calculator does more than calculating numbers or solving equations; rather, the calculator includes an adaptable menu and sub-menu system that helps a user analyze a problem, determine the type of the problem, and helps a user choose equations that are needed to solve the problem. The calculator includes at least some of these topics: balancing equations, stoichiometry, gas laws, equilibrium, dimension analysis, electrochemistry, electricity, Newton laws, thermodynamics, properties of matter, mirrors and lenses, Ohm's law, and Kirchhoff's Law. Additionally, the calculator prompts users to input units for variables, performs unit analysis, and displays results with units. The invention can be implemented as a handheld calculator, as a computer program, or as a program for a handheld device such as a smart phone.

There is provided a method for mining a weak reliability link of a power distribution system based on multi-dimensional analysis. The method comprises the steps of power distribution network power failure event data collecting and cleansing, power distribution network power failure event data CUBE modeling, mined target-based power failure event data CUBE reconstructing, single-dimensional analysis on power failure event data CUBE, multi-dimensional comprehensive analysis on power failure event data CUBE and the like. The method for mining a weak reliability link of a power distribution system based on multi-dimensional analysis breaks through the limitation that the power failure event data is only used for reliability index statistics in the traditional management of reliability of the power distribution network, establishes a multi-dimensional model for the power failure event data itself to execute analysis, and mines the weak reliability link of the power distribution system from multiple perspectives and different hierarchies, thus enabling to effectively find regular features of influence factors on the power failure event of the power distribution network and where the weak reliability link of the power distribution network is, which can not only provide direct guidance for a production-management work of the power distribution network, such as grass-roots operation-maintenance and the like, but also provide a valuable decision basis for each level of management unit of the power distribution system.

A method for calculating the torque of a shield cutterhead based on dimensional analysis is provided. The calculation method comprises: determining parameters affecting the torque of the cutterhead; calculating the torques of the main control item and the dimensionless cutterhead according to the parameters affecting the torque of the cutterhead; summarizing the calculated torques of the main control item and the dimensionless cutterhead; using the linear regression method to obtain the coefficient identification of the main control item; and according to the main control coefficient identification result, obtaining a calculation model of the torque of the cutterhead. According to the method provided by the present invention, the model prediction result can provide a theoretical basis forthe intelligent design of the equipment, and provide a reference for the safe construction of different geology; under the premise of satisfying the uniformity of the dimensions on both sides of the model, the influence factors such as the cutterhead diameter, the tunneling speed, the cutterhead speed, and the like are comprehensively considered, so that the estimation is accurate and reliable; and the torque parameters can be adjusted according to the conditions of the driving formation and the change of the operating parameters, so that the method can provide a reliable theoretical basis forthe design of the tunneling equipment power system and for the real-time adjustment of the torque parameters during the construction process.

The invention discloses a method for classifying, optimizing and analyzing a website based on a user mental model. The method comprises the following steps of: firstly preprocessing log data of the website, wherein the log data contains the data relative to a concept of optimizing of a website classified catalogue issued by a user based on cognition of the user on the website classified catalogue, and extracting the concept from the log data by preprocessing; then determining a co-occurrence relation between the concept issued by the user and the concept in the website classified catalogue by a user mental model classification theory, wherein the concept presents a specific name of the website classified catalogue, such as books and daily articles; converting the co-occurrence relation into a co-occurrence matrix; converting the co-occurrence matrix into a similarity matrix by virtue of a pearson coefficient algorithm; and finally carrying out clustering analysis and multi-dimensional dimensional analysis to analyze similarity and spatiality among concepts of the cognition of the user on the website classified catalogue. Due to the adoption of six steps, decision supports can be provided to the optimizing of the website classified catalogue from a quantified angle based on the user mental model of the website.

The embodiment of the application provides a method and apparatus for determining a sealing property of a fault. The method comprises: determining an inversion lithological data volume according to post-stack seismic data and logging data in a target fault research area; according to post-stack seismic data, determining spatial fracture surface distribution of the target fault; carrying out spatial fracture surface distribution meshing and thus determining inclination angles of all mesh points; on the basis of the loaded inversion lithological data volume as well as the inclination angles of all mesh points, determining overburden pressures of all mesh points of the target fault fracture surface; and determining whether the sealing properties of all mesh points reach a preset requirement in the spatial fracture surface of the target fault based on the overburden pressures of all mesh points. Because the influence on the sealing property by the stress is taken into consideration and the sealing property of the target fault is determined based on seismic data, technical problems that only a two-dimensional analysis is carried out and the accuracy is low according to the existing fault dealing property determination method can be solved; and thus a technical effect of determining the three-dimensional sealing property of the target fault with high precision can be realized.